Upload
phungdung
View
224
Download
6
Embed Size (px)
Citation preview
Research ArticleCalculating Heat of Formation Values of EnergeticCompounds A Comparative Study
Michael S Elioff1 Jordan Hoy2 and John A Bumpus2
1Department of Chemistry Millersville University of Pennsylvania Millersville PA 17551 USA2Department of Chemistry and Biochemistry University of Northern Iowa Cedar Falls IA 50614 USA
Correspondence should be addressed to John A Bumpus johnbumpusuniedu
Received 9 October 2015 Revised 26 December 2015 Accepted 27 December 2015
Academic Editor Dennis Salahub
Copyright copy 2016 Michael S Elioff et alThis is an open access article distributed under theCreativeCommonsAttribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
Heat of formation is one of several important parameters used to assess the performance of energetic compounds We evaluatedthe ability of six different methods to accurately calculate gas-phase heat of formation (Δ119891119867
119900298g) values for a test set of 45 nitrogen-
containing energetic compounds Density functional theory coupled with the use of isodesmic or other balanced equations yieldedcalculated results in which 82 (37 of 45) of the Δ119891119867
119900298g values were within plusmn20 kcalmol of the most recently recommended
experimentalreference values available This was compared to a procedure using density functional theory (DFT) coupled with anatom and group contribution method in which 51 (23 of 45) of the Δ119891119867
119900298g values were within plusmn20 kcalmol of these valuesThe
T1 procedure andBensonrsquos group additivitymethod yielded results inwhich 51 (23 of 45) and 64 (23 of 36) of theΔ119891119867119900298g values
respectively were within plusmn20 kcalmol of these values We also compared two relatively new semiempirical approaches (PM7 andRM1) with regard to their ability to accurately calculate Δ119891119867
119900298g Although semiempirical methods continue to improve they were
found to be less accurate than the other approaches for the test set used in this investigation
1 Introduction
There is substantial interest in the discovery and developmentof new energetic compounds which include high explosivesand propellants and there is special interest in the discoveryand development of high energy density materials (HEDMs)Collectively compounds that have densities greater than orequal to 19 gcm3 detonation velocities greater than or equalto 90 kms and detonation pressures greater than or equalto 400GPa are known as HEDMs [1] The usefulness ofHEDMs in a variety of processes has been understood forat least a century [2] Two important considerations withregard toHEDMs are that they can be dangerous and costly tosynthesizeMoreover increasing environmental concerns callfor more effective ways of predicting performance of HEDMs[3] Manufacturers must be able to determine the amount ofenergy that can be stored in a molecule while maintaining anacceptable level of stability [4]
The condensed-phase heat of formation (Δ119891119867119900298s or
Δ119891119867119900298l) is one of several important parameters used to
assess the performance of energetic materials [5] In prac-tice most theoretical approaches calculate gas-phase heatof formation (Δ119891119867
119900298g) values Solid- or liquid-phase val-
ues are then calculated by subtracting heat of sublimation(Δ119891119867
119900298sub) or heat of vaporization (Δ119891119867
119900298vap) values
respectively from the gas-phase valueOur interest concerns the use of relatively rapid methods
for the calculationprediction of accurate gas-phase heat offormation values During the past several years two relativelyrapid computational procedures have been described for usein determining Δ119891119867
119900298g values [6ndash8] One procedure devel-
oped by Byrd and Rice [6 7] uses density functional theory(DFT) coupled with an atom and group contributionmethodto determine Δ119891119867
119900298g for energetic compounds Another
procedure developed by Ohlinger et al [8] was designed tobe applicable to a broader range of compounds The latterrelies on a novel multilevel computational approach knownas T1 that approaches the accuracy of the G3MP2method [9]while simultaneously reducing the computation time by 2-3orders of magnitude [8] In the investigations reported here
Hindawi Publishing CorporationAdvances in Physical ChemistryVolume 2016 Article ID 5082084 11 pageshttpdxdoiorg10115520165082084
2 Advances in Physical Chemistry
we have compared the effectiveness of these two procedureswith regard to their ability to accurately calculate Δ119891119867
119900298g
values of nitrogen-containing energetic compounds Oper-ating under the assumption that newer procedures are notnecessarily more reliable than more established methods wealso assessed and compared the ability of two other well-established procedures used to calculate Δ119891119867
119900298g Specif-
ically we assessed and compared results using the groupadditivity method developed by Benson and his colleagues[10 11] as well as density functional theory coupled with theuse of isodesmic isogyric or other balanced equations [12]We also used and compared two relatively new semiempiricalmodels (PM7 and RM1) [13 14] to calculate Δ119891119867
119900298g
2 Methods
The test set used in this investigation consisted of the gas-phase heat of formation (Δ119891119867
119900298g) values for forty-five
nitrogen-containing energetic compounds studied by Byrdand Rice [6 7] Δ119891119867
119900298g values were calculated using the
T1 procedure which is based on the G3MP2 [9] multilevelab initio model chemistry as implemented in the Spartanrsquo10and 14 suite of programs Semiempirical theory using theRM1 and PM7 model chemistries [13 14] were used to cal-culate Δ119891119867
119900298g as implemented in Spartan 14 (Wavefunction
Inc Irvine CA) and MOPAC2012 (httpopenmopacnet)respectively
Gas-phase heat of formation values were also calculatedusing density functional theory as implemented in Spartan 10and 14 coupled with the use of isodesmic isogyric and otherbalanced equations An informative account of the detailsconcerning the calculation of Δ119891119867
119900298g using this approach
has been presented by Cramer [12] Most of the equationsused were isodesmic equations For the studies reportedherein total electronic energies (119864Tot) zero point energies(ZPE) and thermal correction (119867119879) values for compoundsin all of the equations were calculated using the M06 2Xfunctional [15 16] and the 6-31Glowast basis set The 6-31Glowast basisset is a medium size basis set It was selected for use so thatexcessive computation time could be avoided In Spartanit is necessary that the ldquocompute IRrdquo box be selected inorder to make these calculations When this is done thecalculated119867119900298 value required for use in isodesmic isogyricor other balanced equations is computed and appears inthe Thermodynamics Window This window is accessed bythe following path Display gt Properties gtThermodynamicsExperimental values for Δ119891119867
119900298g required for compounds
used in these studies were acquired from the NISTWebBook[17] Pedleyrsquos Thermochemical Data of Organic Compounds2nd ed [18] Cox and Pilcherrsquos Thermochemistry of Organicand Organometallic Compounds [19] and publications byDorofeeva and her colleagues [20ndash24]
Gas-phase heat of formation values were calculated fortwenty-five compounds using the Group Additivity approachas implemented in the NIST WebBook (httpwebbooknistgovchemistry) applet [17] This applet uses Benson GroupAdditivity values [10 11] Eight compounds in our testset contained an azido group Unfortunately the azido
group value is not among those included in the databasefor the NIST WebBook applet To address this problemwe first calculated an enthalpy group value for an azidogroup attached to a carbon atom The Δ119891119867
119900298g of methyl
azide has been determined experimentally and by highlevel computation We used the value of 712 kcalmol(plusmn10 kcalmol) recommended by Dorofeeva et al [21]Subtracting the methyl group value (minus102 kcalmol) fromthe heat of formation of methyl azide gives a value of814 kcalmol for the azido group The group additivityapproach was then used to calculate Δ119891119867
119900298g values of
azido-containing compounds as follows First the NISTapplet was used to calculate the Δ119891119867
119900298g value for the amino
analog of the azido compound Then the azido group valueof 814 kcalmol was used in the calculation instead of theamino group value Using this simple modification of thegroup additivity approach Δ119891119867
119900298g values were calculated
for six of the eight compounds in our test set that containedan azido group Calculation of Δ119891119867
119900298g for the remaining
compounds that contained an azido group is described belowTheASTMCHETAH 80 software program [25] was used
to calculateΔ119891119867119900298g values for a few other compounds in our
test set whose Δ119891119867119900298g values could not be calculated using
the NIST appletThe group additivity difference method as described by
Cohen and Benson [26] was used to calculate the Δ119891119867119900298g
value for nitromethane For nitromethane it should be men-tioned that experimental values of minus178 and minus193 kcalmolhave been reported and used extensively Interestingly thereis considerable theoretical as well as experimental support forboth values [20 22ndash24 27ndash29] In the present investigationthe group additivity value for nitromethane (minus180 kcalmol)was calculated by subtracting the group value (minus66 kcalmol)for a methylene (ndashCH2ndash) group bound to a nitrogen atomfrom the calculated Δ119891119867
119900298g value of minus246 kcalmol for
nitroethane We note that this value is 15 kcalmol greaterthan that previously reported by Bumpus and Willoughby[27] It should also be noted that recent experimentalresults [24] support a slightly greater Δ119891119867
119900298g value of
minus1709 kcalmol for nitromethane and it is this value that wasultimately included in the alternative experimental referenceset
The calculation of Δ119891119867119900298g for 1-azido-11-dinitroethane
was accomplished using the group values for the methylgroup and azido group coupled with the group value for acarbon attached to an azido group and two nitro groupsThislater value was assumed to be equivalent to the group value(minus99 kcalmol) for a carbon attached to a hydrogen and twonitro groups
For azidotrinitromethane the group value for the trini-tromethyl group (minus145 kcalmol) listed in CHETAH 80 wasadded to the azido group value of 814 kcalmol giving acalculated Δ119891119867
119900298g value of 7995 kcalmol (= 800 kcalmol)
for azidotrinitromethaneAll calculated Δ119891119867
119900298g values were compared with
experimental values and with values published by Byrd andRice [6 7] who calculated Δ119891119867
119900298g values using density
Advances in Physical Chemistry 3
functional theory coupledwith an atom and group equivalentmethod Calculated Δ119891119867
119900298g values were also compared to
an alternative experimental reference set in which eighteenpresumably more accurate Δ119891119867
119900298g values recommended
by Dorofeeva and colleagues [20ndash24] were substituted forcorresponding values in the original set of experimentalvalues Also substituted in this alternative experimentalreference set was the Δ119891119867
119900298g value for 246-trinitrotoluene
listed in Cox and Pilcherrsquos ldquoThermochemistry of Organic andOrganometallic Compoundsrdquo [19] Finally it should be notedthat during the course of this investigation it appeared thatthe experimental Δ119891119867
119900298g value for dinitromethylbenzene
might be several kcalmol too low To address this possibilitywe used an approach similar to that used successfully byDorofeeva et al [21ndash23] to deal with such issues Specificallywe used density functional theory (EDF2 [30] functional andthe 6-311++G (2df2p) basis set) coupled with the use of tenisodesmic equations to calculate a Δ119891119867
119900298g reference value
of 142 plusmn 03 for dinitromethylbenzene This value was alsoincluded in the alternative reference set
It should be mentioned that many of the computedRM1 and PM7 Δ119891119867
119900298g values for compounds appearing
in Table 1 have been previously reported [13 14] Similarlymost of the T1 Δ119891119867
119900298g values appear in the Spartan Spectra
and Properties Database (SSPD) data base that accompaniesSpartan 14 In general our results are quite consistent withthese previously reported values In some instances howeverslightly lower Δ119891119867
119900298g values were calculated indicating the
existence of lower-energy equilibrium geometries than thoseused in previous investigations
3 Results and Discussion
The ultimate goal of any computational strategy designedto estimate values for Δ119891119867
119900298g is to reduce uncertainties
to within plusmn10 or 20 kcalmol (1 kcalmol = 4184 kJmol)which is taken to be experimental error One reason for thisgoal is that small errors in Δ119891119867
119900298g become magnified when
propagated to obtain other values which depend onΔ119891119867119900298g
The standard Gibbs energy change of a reaction for exampleis a function of the reaction enthalpy change as follows
Δ rxn119866∘= Δ rxn119867
∘minus 119879Δ rxn119878
∘ (1)
Reaction enthalpies can be calculated in accord with Hessrsquoslaw by taking the difference of the standard heat of formationvalues of the products and reactants of the reaction Theequilibrium constant (119870eq) of a reaction and Δ rxn119866
∘ arerelated by the expression
119870eq = 119890minusΔ rxn119866
∘119877119879 (2)
Since the equilibrium constant depends exponentially uponΔ rxn119866
∘ a small error in Δ rxn119867119900 can result in dramatically
different values for 119870eq when it is the calculated parameterof interest
For energetic compounds calculation of equilibriumconstants using heat of formation values is typically not
a concern sincemost reactions of interest are highly exergonicwith equilibrium constants that indicate product formationis highly favored It must be noted however that severalparameters (eg heat of detonation heat of explosion powerindex explosive velocity and explosive pressure) used tocharacterize high explosives require the condensed-phaseheat of formation value This is somewhat problematic fortheoretical compounds since calculations are performedon single molecules which are by definition gas-phasemolecules To calculate solid-phase heat of formation valuesheat of sublimation (or vaporization) values are calculatedby one of several computational methods available and thesevalues are then subtracted from the gas-phase values tocalculate the condensed-phase values This represents stillanother source of uncertainty in subsequent calculations It istherefore important to be able to identify and use proceduresthat provide the most accurate heat of formation valuespossible
Our initial objective was to compare the abilities of theT1 multilevel ab initio approach developed by Ohlinger etal [8] with the atom and group equivalent DFT approachdescribed by Byrd and Rice [6 7] To make this comparisonwe selected the forty-five nitrogen-containing compoundsstudied by Byrd and Rice [6 7] which we designated as ourtest set and acquiredT1Δ119891119867
119900298g values for these compounds
These results and the results of all comparisons made in thisinvestigation are presented inTables 1 2 and 3 and in Figure 1
When making comparisons such as those under con-sideration here it is necessary to use the most accurateexperimental Δ119891119867
119900298g reference values available This is
problematic for no fewer than twenty of the experimentalΔ119891119867119900298g values used in this investigation and it is of sub-
stantial concern for the eight organic azide compounds in thetest set Indeed Dorofeeva et al [21] note that ldquoenthalpiesof formation of organic azides are scanty and not alwaysreliablerdquo To address this problem Dorofeeva et al [21] useda combination of multilevel ab initio model chemistries anddensity functional theory coupled with the use of isodesmicisogyric and other balanced equations to calculate andrecommend Δ119891119867
119900298g values for twenty-nine organic azides
including the eight organic azide compounds in our test setThe implication of their work is that their calculated valuesmay be more accurate than the experimental values thatwere originally available to Byrd and Rice [6 7] This samegroup [20 22ndash24] conducted similar studies of the Δ119891119867
119900298g
values for fifty-seven other energetic nitrogen-containingcompounds and recommended the use of several Δ119891119867
119900298g
values that are slightly different than those that were availableto Byrd and Rice [6 7]
In light of these findings we compared computed datawith the original experimental data set used by Byrd and Rice[6 7] and with a newer alternative experimental referenceset (also referred to elsewhere herein as the most recentlyrecommended experimentalreference values available) inwhich a total of eighteen Δ119891119867
119900298g reference values recom-
mended by Dorofeeva et al [18 20 21] were substituted forthe original corresponding experimental values in the test set[6 7] We also note that at least three experimental values
4 Advances in Physical ChemistryTa
ble1Com
paris
onof
experim
entalgas-phase
heatof
form
ationvalues
with
values
calculated
usingseveraltheoreticalapproaches
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
methane
minus193(minus1709)
minus158
minus186
minus168
minus180
minus172
minus124
Tetra
nitro
methane
197(2110)
234
206
223
mdash284
181
Azidotrin
itrom
ethane
842(8532)
884
856
840
816
952
792
DMNO(N
-methyl-N
-nitrom
ethanamine)
minus12
05
minus10
minus11
minus16
minus58
minus35
1-Azido-11-d
initroethane
604(6286)
616
604
597
613
682
576
Hexanitroethane
428(291
8)293
337
289
mdash473
302
Nitro
glycerin
minus6671
minus658
minus667
minus698
minus815
minus826
minus720
TTT
943
984
941
938
mdash404
354
RDX(cyclotrimethylen
e-trinitra
mine)
458(4579)
490
440
468
mdash218
457
14-D
initrosopiperazine
464
527
467
466
368lowastlowastlowast
172
127
14-D
initropiperazine
139(1546
)177
126
149
112
20
167
N-N
itro-bis-2
22-tr
initroethylam
ine
2142
212
231
191
mdash346
334
Nitro
benzene
1638(1568)
152
141
148
161
182
182
2-Nitro
phenol
minus3162
minus296
minus311
minus314
minus260
minus310
minus289
3-Nitro
phenol
minus2612
minus260
minus260
minus270
minus260
minus258
minus268
4-Nitro
phenol
minus2741
minus260
minus280
minus282
minus260
minus281
minus285
m-N
itroanilin
e149
169
153
161
171
166
114
p-Nitro
aniline
132
165
128
141
171
129
83
Azidobenzene
930(9919)
948
998
968
974
990
945
1-Azido-4-nitrobenzene
931(9417)
928
918
931
937
947
903
N-N
itrobis-22-dinitro
propylam
ine(DNPN
)minus317
minus287
minus256
minus338
mdashminus150
minus91
PNT(1-
methyl-4
-nitrobenzene)
738
72
63
73
81
75
84
24-DNT(1-
methyl-2
4-dinitrobenzene)
793
86
44
85
44
70
85
Azidom
ethylbenzene
995(9680)
924
991
962
968
947
914
3-Az
ido-3-ethylpentane
406(315
5)281
414
315
329
367
338
TNT(tr
initrotoluene)
575
(123)
136
71
115
08
108
126
22-Dinitroadamantane
minus3688(minus4278)
minus394
minus347
minus413
minus354lowastlowastlowast
minus286
minus439
1-Azidoadam
antane
516(4374)
400
496
446
480
470
289
2-Az
ido-2-phenylp
ropane
874(795
9)750
819
803
798
842
776
HNS
5698
639
595
608
358
582
616
Methylnitrite
minus1564
minus133
minus146
minus139
minus161
minus192
minus219
Methylnitrate
minus292
minus270
minus272
minus273
minus296
minus314
minus284
Dinitrom
ethane
minus141(minus92
0)minus76
minus132
minus78
mdashminus82
minus45
Ethylnitrite
minus259
minus219
minus224
minus249
minus242
minus326
minus323
Ethylnitrate
minus370
minus351
minus349
minus361
minus377
minus395
minus356
Propylnitrite
minus284
minus270
minus273
minus292
minus291
minus377
minus372
2-Methyl-2
-nitropropane
minus4232
(minus4190)
minus402
minus383
minus426
minus423
minus357
minus364
n-Bu
tylnitrite
minus348
minus320
minus320
minus355
minus340
minus426
minus422
t-Butylnitrite
minus410
minus387
minus354
minus408
minus425
minus482
minus486
34-Fu
razand
imethanoldinitrate
26
98
91
minus04
mdashminus40
194
1-Nitropiperidine
minus106(minus887)
minus74
minus99
minus89
minus81
minus155
minus92
Advances in Physical Chemistry 5
Table1Con
tinued
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
sobenzene
481
471
488
455
mdash412
331
Nitro
methylbenzene
734
87
94
90
76113
130
Dinitrom
ethylbenzene
83(14
2)
139
136
145
121
196
184
13-D
imethyl-2
-nitrobenzene
21
14
43
32
02
minus02
14
HNS=111015840 -(12-ethenediyl)b
is[246-trinitrob
enzene]TT
T=hexahydro-13
5-tr
initroso-13
5-tr
iazine
lowastVa
luesfro
mBy
rdandRice
[67]Va
luesin
parenthesesa
rethosethath
aveb
eensubstituted
forcorrespon
ding
valuesin
theo
riginalreferences
etandareu
sedin
thea
lternativee
xperim
entalreference
setSeetext
ford
etailsandexplanation
lowastlowastMosto
fvaluesintheD
FTiso
desm
iccolumnwerec
alculated
usingiso
desm
icreactio
nsH
owever
somev
aluesw
erec
alculated
usingiso
gyric
orotherb
alancedequatio
ns
lowastlowastlowastVa
lues
calculated
usingCH
ETAH80
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
2 Advances in Physical Chemistry
we have compared the effectiveness of these two procedureswith regard to their ability to accurately calculate Δ119891119867
119900298g
values of nitrogen-containing energetic compounds Oper-ating under the assumption that newer procedures are notnecessarily more reliable than more established methods wealso assessed and compared the ability of two other well-established procedures used to calculate Δ119891119867
119900298g Specif-
ically we assessed and compared results using the groupadditivity method developed by Benson and his colleagues[10 11] as well as density functional theory coupled with theuse of isodesmic isogyric or other balanced equations [12]We also used and compared two relatively new semiempiricalmodels (PM7 and RM1) [13 14] to calculate Δ119891119867
119900298g
2 Methods
The test set used in this investigation consisted of the gas-phase heat of formation (Δ119891119867
119900298g) values for forty-five
nitrogen-containing energetic compounds studied by Byrdand Rice [6 7] Δ119891119867
119900298g values were calculated using the
T1 procedure which is based on the G3MP2 [9] multilevelab initio model chemistry as implemented in the Spartanrsquo10and 14 suite of programs Semiempirical theory using theRM1 and PM7 model chemistries [13 14] were used to cal-culate Δ119891119867
119900298g as implemented in Spartan 14 (Wavefunction
Inc Irvine CA) and MOPAC2012 (httpopenmopacnet)respectively
Gas-phase heat of formation values were also calculatedusing density functional theory as implemented in Spartan 10and 14 coupled with the use of isodesmic isogyric and otherbalanced equations An informative account of the detailsconcerning the calculation of Δ119891119867
119900298g using this approach
has been presented by Cramer [12] Most of the equationsused were isodesmic equations For the studies reportedherein total electronic energies (119864Tot) zero point energies(ZPE) and thermal correction (119867119879) values for compoundsin all of the equations were calculated using the M06 2Xfunctional [15 16] and the 6-31Glowast basis set The 6-31Glowast basisset is a medium size basis set It was selected for use so thatexcessive computation time could be avoided In Spartanit is necessary that the ldquocompute IRrdquo box be selected inorder to make these calculations When this is done thecalculated119867119900298 value required for use in isodesmic isogyricor other balanced equations is computed and appears inthe Thermodynamics Window This window is accessed bythe following path Display gt Properties gtThermodynamicsExperimental values for Δ119891119867
119900298g required for compounds
used in these studies were acquired from the NISTWebBook[17] Pedleyrsquos Thermochemical Data of Organic Compounds2nd ed [18] Cox and Pilcherrsquos Thermochemistry of Organicand Organometallic Compounds [19] and publications byDorofeeva and her colleagues [20ndash24]
Gas-phase heat of formation values were calculated fortwenty-five compounds using the Group Additivity approachas implemented in the NIST WebBook (httpwebbooknistgovchemistry) applet [17] This applet uses Benson GroupAdditivity values [10 11] Eight compounds in our testset contained an azido group Unfortunately the azido
group value is not among those included in the databasefor the NIST WebBook applet To address this problemwe first calculated an enthalpy group value for an azidogroup attached to a carbon atom The Δ119891119867
119900298g of methyl
azide has been determined experimentally and by highlevel computation We used the value of 712 kcalmol(plusmn10 kcalmol) recommended by Dorofeeva et al [21]Subtracting the methyl group value (minus102 kcalmol) fromthe heat of formation of methyl azide gives a value of814 kcalmol for the azido group The group additivityapproach was then used to calculate Δ119891119867
119900298g values of
azido-containing compounds as follows First the NISTapplet was used to calculate the Δ119891119867
119900298g value for the amino
analog of the azido compound Then the azido group valueof 814 kcalmol was used in the calculation instead of theamino group value Using this simple modification of thegroup additivity approach Δ119891119867
119900298g values were calculated
for six of the eight compounds in our test set that containedan azido group Calculation of Δ119891119867
119900298g for the remaining
compounds that contained an azido group is described belowTheASTMCHETAH 80 software program [25] was used
to calculateΔ119891119867119900298g values for a few other compounds in our
test set whose Δ119891119867119900298g values could not be calculated using
the NIST appletThe group additivity difference method as described by
Cohen and Benson [26] was used to calculate the Δ119891119867119900298g
value for nitromethane For nitromethane it should be men-tioned that experimental values of minus178 and minus193 kcalmolhave been reported and used extensively Interestingly thereis considerable theoretical as well as experimental support forboth values [20 22ndash24 27ndash29] In the present investigationthe group additivity value for nitromethane (minus180 kcalmol)was calculated by subtracting the group value (minus66 kcalmol)for a methylene (ndashCH2ndash) group bound to a nitrogen atomfrom the calculated Δ119891119867
119900298g value of minus246 kcalmol for
nitroethane We note that this value is 15 kcalmol greaterthan that previously reported by Bumpus and Willoughby[27] It should also be noted that recent experimentalresults [24] support a slightly greater Δ119891119867
119900298g value of
minus1709 kcalmol for nitromethane and it is this value that wasultimately included in the alternative experimental referenceset
The calculation of Δ119891119867119900298g for 1-azido-11-dinitroethane
was accomplished using the group values for the methylgroup and azido group coupled with the group value for acarbon attached to an azido group and two nitro groupsThislater value was assumed to be equivalent to the group value(minus99 kcalmol) for a carbon attached to a hydrogen and twonitro groups
For azidotrinitromethane the group value for the trini-tromethyl group (minus145 kcalmol) listed in CHETAH 80 wasadded to the azido group value of 814 kcalmol giving acalculated Δ119891119867
119900298g value of 7995 kcalmol (= 800 kcalmol)
for azidotrinitromethaneAll calculated Δ119891119867
119900298g values were compared with
experimental values and with values published by Byrd andRice [6 7] who calculated Δ119891119867
119900298g values using density
Advances in Physical Chemistry 3
functional theory coupledwith an atom and group equivalentmethod Calculated Δ119891119867
119900298g values were also compared to
an alternative experimental reference set in which eighteenpresumably more accurate Δ119891119867
119900298g values recommended
by Dorofeeva and colleagues [20ndash24] were substituted forcorresponding values in the original set of experimentalvalues Also substituted in this alternative experimentalreference set was the Δ119891119867
119900298g value for 246-trinitrotoluene
listed in Cox and Pilcherrsquos ldquoThermochemistry of Organic andOrganometallic Compoundsrdquo [19] Finally it should be notedthat during the course of this investigation it appeared thatthe experimental Δ119891119867
119900298g value for dinitromethylbenzene
might be several kcalmol too low To address this possibilitywe used an approach similar to that used successfully byDorofeeva et al [21ndash23] to deal with such issues Specificallywe used density functional theory (EDF2 [30] functional andthe 6-311++G (2df2p) basis set) coupled with the use of tenisodesmic equations to calculate a Δ119891119867
119900298g reference value
of 142 plusmn 03 for dinitromethylbenzene This value was alsoincluded in the alternative reference set
It should be mentioned that many of the computedRM1 and PM7 Δ119891119867
119900298g values for compounds appearing
in Table 1 have been previously reported [13 14] Similarlymost of the T1 Δ119891119867
119900298g values appear in the Spartan Spectra
and Properties Database (SSPD) data base that accompaniesSpartan 14 In general our results are quite consistent withthese previously reported values In some instances howeverslightly lower Δ119891119867
119900298g values were calculated indicating the
existence of lower-energy equilibrium geometries than thoseused in previous investigations
3 Results and Discussion
The ultimate goal of any computational strategy designedto estimate values for Δ119891119867
119900298g is to reduce uncertainties
to within plusmn10 or 20 kcalmol (1 kcalmol = 4184 kJmol)which is taken to be experimental error One reason for thisgoal is that small errors in Δ119891119867
119900298g become magnified when
propagated to obtain other values which depend onΔ119891119867119900298g
The standard Gibbs energy change of a reaction for exampleis a function of the reaction enthalpy change as follows
Δ rxn119866∘= Δ rxn119867
∘minus 119879Δ rxn119878
∘ (1)
Reaction enthalpies can be calculated in accord with Hessrsquoslaw by taking the difference of the standard heat of formationvalues of the products and reactants of the reaction Theequilibrium constant (119870eq) of a reaction and Δ rxn119866
∘ arerelated by the expression
119870eq = 119890minusΔ rxn119866
∘119877119879 (2)
Since the equilibrium constant depends exponentially uponΔ rxn119866
∘ a small error in Δ rxn119867119900 can result in dramatically
different values for 119870eq when it is the calculated parameterof interest
For energetic compounds calculation of equilibriumconstants using heat of formation values is typically not
a concern sincemost reactions of interest are highly exergonicwith equilibrium constants that indicate product formationis highly favored It must be noted however that severalparameters (eg heat of detonation heat of explosion powerindex explosive velocity and explosive pressure) used tocharacterize high explosives require the condensed-phaseheat of formation value This is somewhat problematic fortheoretical compounds since calculations are performedon single molecules which are by definition gas-phasemolecules To calculate solid-phase heat of formation valuesheat of sublimation (or vaporization) values are calculatedby one of several computational methods available and thesevalues are then subtracted from the gas-phase values tocalculate the condensed-phase values This represents stillanother source of uncertainty in subsequent calculations It istherefore important to be able to identify and use proceduresthat provide the most accurate heat of formation valuespossible
Our initial objective was to compare the abilities of theT1 multilevel ab initio approach developed by Ohlinger etal [8] with the atom and group equivalent DFT approachdescribed by Byrd and Rice [6 7] To make this comparisonwe selected the forty-five nitrogen-containing compoundsstudied by Byrd and Rice [6 7] which we designated as ourtest set and acquiredT1Δ119891119867
119900298g values for these compounds
These results and the results of all comparisons made in thisinvestigation are presented inTables 1 2 and 3 and in Figure 1
When making comparisons such as those under con-sideration here it is necessary to use the most accurateexperimental Δ119891119867
119900298g reference values available This is
problematic for no fewer than twenty of the experimentalΔ119891119867119900298g values used in this investigation and it is of sub-
stantial concern for the eight organic azide compounds in thetest set Indeed Dorofeeva et al [21] note that ldquoenthalpiesof formation of organic azides are scanty and not alwaysreliablerdquo To address this problem Dorofeeva et al [21] useda combination of multilevel ab initio model chemistries anddensity functional theory coupled with the use of isodesmicisogyric and other balanced equations to calculate andrecommend Δ119891119867
119900298g values for twenty-nine organic azides
including the eight organic azide compounds in our test setThe implication of their work is that their calculated valuesmay be more accurate than the experimental values thatwere originally available to Byrd and Rice [6 7] This samegroup [20 22ndash24] conducted similar studies of the Δ119891119867
119900298g
values for fifty-seven other energetic nitrogen-containingcompounds and recommended the use of several Δ119891119867
119900298g
values that are slightly different than those that were availableto Byrd and Rice [6 7]
In light of these findings we compared computed datawith the original experimental data set used by Byrd and Rice[6 7] and with a newer alternative experimental referenceset (also referred to elsewhere herein as the most recentlyrecommended experimentalreference values available) inwhich a total of eighteen Δ119891119867
119900298g reference values recom-
mended by Dorofeeva et al [18 20 21] were substituted forthe original corresponding experimental values in the test set[6 7] We also note that at least three experimental values
4 Advances in Physical ChemistryTa
ble1Com
paris
onof
experim
entalgas-phase
heatof
form
ationvalues
with
values
calculated
usingseveraltheoreticalapproaches
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
methane
minus193(minus1709)
minus158
minus186
minus168
minus180
minus172
minus124
Tetra
nitro
methane
197(2110)
234
206
223
mdash284
181
Azidotrin
itrom
ethane
842(8532)
884
856
840
816
952
792
DMNO(N
-methyl-N
-nitrom
ethanamine)
minus12
05
minus10
minus11
minus16
minus58
minus35
1-Azido-11-d
initroethane
604(6286)
616
604
597
613
682
576
Hexanitroethane
428(291
8)293
337
289
mdash473
302
Nitro
glycerin
minus6671
minus658
minus667
minus698
minus815
minus826
minus720
TTT
943
984
941
938
mdash404
354
RDX(cyclotrimethylen
e-trinitra
mine)
458(4579)
490
440
468
mdash218
457
14-D
initrosopiperazine
464
527
467
466
368lowastlowastlowast
172
127
14-D
initropiperazine
139(1546
)177
126
149
112
20
167
N-N
itro-bis-2
22-tr
initroethylam
ine
2142
212
231
191
mdash346
334
Nitro
benzene
1638(1568)
152
141
148
161
182
182
2-Nitro
phenol
minus3162
minus296
minus311
minus314
minus260
minus310
minus289
3-Nitro
phenol
minus2612
minus260
minus260
minus270
minus260
minus258
minus268
4-Nitro
phenol
minus2741
minus260
minus280
minus282
minus260
minus281
minus285
m-N
itroanilin
e149
169
153
161
171
166
114
p-Nitro
aniline
132
165
128
141
171
129
83
Azidobenzene
930(9919)
948
998
968
974
990
945
1-Azido-4-nitrobenzene
931(9417)
928
918
931
937
947
903
N-N
itrobis-22-dinitro
propylam
ine(DNPN
)minus317
minus287
minus256
minus338
mdashminus150
minus91
PNT(1-
methyl-4
-nitrobenzene)
738
72
63
73
81
75
84
24-DNT(1-
methyl-2
4-dinitrobenzene)
793
86
44
85
44
70
85
Azidom
ethylbenzene
995(9680)
924
991
962
968
947
914
3-Az
ido-3-ethylpentane
406(315
5)281
414
315
329
367
338
TNT(tr
initrotoluene)
575
(123)
136
71
115
08
108
126
22-Dinitroadamantane
minus3688(minus4278)
minus394
minus347
minus413
minus354lowastlowastlowast
minus286
minus439
1-Azidoadam
antane
516(4374)
400
496
446
480
470
289
2-Az
ido-2-phenylp
ropane
874(795
9)750
819
803
798
842
776
HNS
5698
639
595
608
358
582
616
Methylnitrite
minus1564
minus133
minus146
minus139
minus161
minus192
minus219
Methylnitrate
minus292
minus270
minus272
minus273
minus296
minus314
minus284
Dinitrom
ethane
minus141(minus92
0)minus76
minus132
minus78
mdashminus82
minus45
Ethylnitrite
minus259
minus219
minus224
minus249
minus242
minus326
minus323
Ethylnitrate
minus370
minus351
minus349
minus361
minus377
minus395
minus356
Propylnitrite
minus284
minus270
minus273
minus292
minus291
minus377
minus372
2-Methyl-2
-nitropropane
minus4232
(minus4190)
minus402
minus383
minus426
minus423
minus357
minus364
n-Bu
tylnitrite
minus348
minus320
minus320
minus355
minus340
minus426
minus422
t-Butylnitrite
minus410
minus387
minus354
minus408
minus425
minus482
minus486
34-Fu
razand
imethanoldinitrate
26
98
91
minus04
mdashminus40
194
1-Nitropiperidine
minus106(minus887)
minus74
minus99
minus89
minus81
minus155
minus92
Advances in Physical Chemistry 5
Table1Con
tinued
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
sobenzene
481
471
488
455
mdash412
331
Nitro
methylbenzene
734
87
94
90
76113
130
Dinitrom
ethylbenzene
83(14
2)
139
136
145
121
196
184
13-D
imethyl-2
-nitrobenzene
21
14
43
32
02
minus02
14
HNS=111015840 -(12-ethenediyl)b
is[246-trinitrob
enzene]TT
T=hexahydro-13
5-tr
initroso-13
5-tr
iazine
lowastVa
luesfro
mBy
rdandRice
[67]Va
luesin
parenthesesa
rethosethath
aveb
eensubstituted
forcorrespon
ding
valuesin
theo
riginalreferences
etandareu
sedin
thea
lternativee
xperim
entalreference
setSeetext
ford
etailsandexplanation
lowastlowastMosto
fvaluesintheD
FTiso
desm
iccolumnwerec
alculated
usingiso
desm
icreactio
nsH
owever
somev
aluesw
erec
alculated
usingiso
gyric
orotherb
alancedequatio
ns
lowastlowastlowastVa
lues
calculated
usingCH
ETAH80
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Advances in Physical Chemistry 3
functional theory coupledwith an atom and group equivalentmethod Calculated Δ119891119867
119900298g values were also compared to
an alternative experimental reference set in which eighteenpresumably more accurate Δ119891119867
119900298g values recommended
by Dorofeeva and colleagues [20ndash24] were substituted forcorresponding values in the original set of experimentalvalues Also substituted in this alternative experimentalreference set was the Δ119891119867
119900298g value for 246-trinitrotoluene
listed in Cox and Pilcherrsquos ldquoThermochemistry of Organic andOrganometallic Compoundsrdquo [19] Finally it should be notedthat during the course of this investigation it appeared thatthe experimental Δ119891119867
119900298g value for dinitromethylbenzene
might be several kcalmol too low To address this possibilitywe used an approach similar to that used successfully byDorofeeva et al [21ndash23] to deal with such issues Specificallywe used density functional theory (EDF2 [30] functional andthe 6-311++G (2df2p) basis set) coupled with the use of tenisodesmic equations to calculate a Δ119891119867
119900298g reference value
of 142 plusmn 03 for dinitromethylbenzene This value was alsoincluded in the alternative reference set
It should be mentioned that many of the computedRM1 and PM7 Δ119891119867
119900298g values for compounds appearing
in Table 1 have been previously reported [13 14] Similarlymost of the T1 Δ119891119867
119900298g values appear in the Spartan Spectra
and Properties Database (SSPD) data base that accompaniesSpartan 14 In general our results are quite consistent withthese previously reported values In some instances howeverslightly lower Δ119891119867
119900298g values were calculated indicating the
existence of lower-energy equilibrium geometries than thoseused in previous investigations
3 Results and Discussion
The ultimate goal of any computational strategy designedto estimate values for Δ119891119867
119900298g is to reduce uncertainties
to within plusmn10 or 20 kcalmol (1 kcalmol = 4184 kJmol)which is taken to be experimental error One reason for thisgoal is that small errors in Δ119891119867
119900298g become magnified when
propagated to obtain other values which depend onΔ119891119867119900298g
The standard Gibbs energy change of a reaction for exampleis a function of the reaction enthalpy change as follows
Δ rxn119866∘= Δ rxn119867
∘minus 119879Δ rxn119878
∘ (1)
Reaction enthalpies can be calculated in accord with Hessrsquoslaw by taking the difference of the standard heat of formationvalues of the products and reactants of the reaction Theequilibrium constant (119870eq) of a reaction and Δ rxn119866
∘ arerelated by the expression
119870eq = 119890minusΔ rxn119866
∘119877119879 (2)
Since the equilibrium constant depends exponentially uponΔ rxn119866
∘ a small error in Δ rxn119867119900 can result in dramatically
different values for 119870eq when it is the calculated parameterof interest
For energetic compounds calculation of equilibriumconstants using heat of formation values is typically not
a concern sincemost reactions of interest are highly exergonicwith equilibrium constants that indicate product formationis highly favored It must be noted however that severalparameters (eg heat of detonation heat of explosion powerindex explosive velocity and explosive pressure) used tocharacterize high explosives require the condensed-phaseheat of formation value This is somewhat problematic fortheoretical compounds since calculations are performedon single molecules which are by definition gas-phasemolecules To calculate solid-phase heat of formation valuesheat of sublimation (or vaporization) values are calculatedby one of several computational methods available and thesevalues are then subtracted from the gas-phase values tocalculate the condensed-phase values This represents stillanother source of uncertainty in subsequent calculations It istherefore important to be able to identify and use proceduresthat provide the most accurate heat of formation valuespossible
Our initial objective was to compare the abilities of theT1 multilevel ab initio approach developed by Ohlinger etal [8] with the atom and group equivalent DFT approachdescribed by Byrd and Rice [6 7] To make this comparisonwe selected the forty-five nitrogen-containing compoundsstudied by Byrd and Rice [6 7] which we designated as ourtest set and acquiredT1Δ119891119867
119900298g values for these compounds
These results and the results of all comparisons made in thisinvestigation are presented inTables 1 2 and 3 and in Figure 1
When making comparisons such as those under con-sideration here it is necessary to use the most accurateexperimental Δ119891119867
119900298g reference values available This is
problematic for no fewer than twenty of the experimentalΔ119891119867119900298g values used in this investigation and it is of sub-
stantial concern for the eight organic azide compounds in thetest set Indeed Dorofeeva et al [21] note that ldquoenthalpiesof formation of organic azides are scanty and not alwaysreliablerdquo To address this problem Dorofeeva et al [21] useda combination of multilevel ab initio model chemistries anddensity functional theory coupled with the use of isodesmicisogyric and other balanced equations to calculate andrecommend Δ119891119867
119900298g values for twenty-nine organic azides
including the eight organic azide compounds in our test setThe implication of their work is that their calculated valuesmay be more accurate than the experimental values thatwere originally available to Byrd and Rice [6 7] This samegroup [20 22ndash24] conducted similar studies of the Δ119891119867
119900298g
values for fifty-seven other energetic nitrogen-containingcompounds and recommended the use of several Δ119891119867
119900298g
values that are slightly different than those that were availableto Byrd and Rice [6 7]
In light of these findings we compared computed datawith the original experimental data set used by Byrd and Rice[6 7] and with a newer alternative experimental referenceset (also referred to elsewhere herein as the most recentlyrecommended experimentalreference values available) inwhich a total of eighteen Δ119891119867
119900298g reference values recom-
mended by Dorofeeva et al [18 20 21] were substituted forthe original corresponding experimental values in the test set[6 7] We also note that at least three experimental values
4 Advances in Physical ChemistryTa
ble1Com
paris
onof
experim
entalgas-phase
heatof
form
ationvalues
with
values
calculated
usingseveraltheoreticalapproaches
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
methane
minus193(minus1709)
minus158
minus186
minus168
minus180
minus172
minus124
Tetra
nitro
methane
197(2110)
234
206
223
mdash284
181
Azidotrin
itrom
ethane
842(8532)
884
856
840
816
952
792
DMNO(N
-methyl-N
-nitrom
ethanamine)
minus12
05
minus10
minus11
minus16
minus58
minus35
1-Azido-11-d
initroethane
604(6286)
616
604
597
613
682
576
Hexanitroethane
428(291
8)293
337
289
mdash473
302
Nitro
glycerin
minus6671
minus658
minus667
minus698
minus815
minus826
minus720
TTT
943
984
941
938
mdash404
354
RDX(cyclotrimethylen
e-trinitra
mine)
458(4579)
490
440
468
mdash218
457
14-D
initrosopiperazine
464
527
467
466
368lowastlowastlowast
172
127
14-D
initropiperazine
139(1546
)177
126
149
112
20
167
N-N
itro-bis-2
22-tr
initroethylam
ine
2142
212
231
191
mdash346
334
Nitro
benzene
1638(1568)
152
141
148
161
182
182
2-Nitro
phenol
minus3162
minus296
minus311
minus314
minus260
minus310
minus289
3-Nitro
phenol
minus2612
minus260
minus260
minus270
minus260
minus258
minus268
4-Nitro
phenol
minus2741
minus260
minus280
minus282
minus260
minus281
minus285
m-N
itroanilin
e149
169
153
161
171
166
114
p-Nitro
aniline
132
165
128
141
171
129
83
Azidobenzene
930(9919)
948
998
968
974
990
945
1-Azido-4-nitrobenzene
931(9417)
928
918
931
937
947
903
N-N
itrobis-22-dinitro
propylam
ine(DNPN
)minus317
minus287
minus256
minus338
mdashminus150
minus91
PNT(1-
methyl-4
-nitrobenzene)
738
72
63
73
81
75
84
24-DNT(1-
methyl-2
4-dinitrobenzene)
793
86
44
85
44
70
85
Azidom
ethylbenzene
995(9680)
924
991
962
968
947
914
3-Az
ido-3-ethylpentane
406(315
5)281
414
315
329
367
338
TNT(tr
initrotoluene)
575
(123)
136
71
115
08
108
126
22-Dinitroadamantane
minus3688(minus4278)
minus394
minus347
minus413
minus354lowastlowastlowast
minus286
minus439
1-Azidoadam
antane
516(4374)
400
496
446
480
470
289
2-Az
ido-2-phenylp
ropane
874(795
9)750
819
803
798
842
776
HNS
5698
639
595
608
358
582
616
Methylnitrite
minus1564
minus133
minus146
minus139
minus161
minus192
minus219
Methylnitrate
minus292
minus270
minus272
minus273
minus296
minus314
minus284
Dinitrom
ethane
minus141(minus92
0)minus76
minus132
minus78
mdashminus82
minus45
Ethylnitrite
minus259
minus219
minus224
minus249
minus242
minus326
minus323
Ethylnitrate
minus370
minus351
minus349
minus361
minus377
minus395
minus356
Propylnitrite
minus284
minus270
minus273
minus292
minus291
minus377
minus372
2-Methyl-2
-nitropropane
minus4232
(minus4190)
minus402
minus383
minus426
minus423
minus357
minus364
n-Bu
tylnitrite
minus348
minus320
minus320
minus355
minus340
minus426
minus422
t-Butylnitrite
minus410
minus387
minus354
minus408
minus425
minus482
minus486
34-Fu
razand
imethanoldinitrate
26
98
91
minus04
mdashminus40
194
1-Nitropiperidine
minus106(minus887)
minus74
minus99
minus89
minus81
minus155
minus92
Advances in Physical Chemistry 5
Table1Con
tinued
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
sobenzene
481
471
488
455
mdash412
331
Nitro
methylbenzene
734
87
94
90
76113
130
Dinitrom
ethylbenzene
83(14
2)
139
136
145
121
196
184
13-D
imethyl-2
-nitrobenzene
21
14
43
32
02
minus02
14
HNS=111015840 -(12-ethenediyl)b
is[246-trinitrob
enzene]TT
T=hexahydro-13
5-tr
initroso-13
5-tr
iazine
lowastVa
luesfro
mBy
rdandRice
[67]Va
luesin
parenthesesa
rethosethath
aveb
eensubstituted
forcorrespon
ding
valuesin
theo
riginalreferences
etandareu
sedin
thea
lternativee
xperim
entalreference
setSeetext
ford
etailsandexplanation
lowastlowastMosto
fvaluesintheD
FTiso
desm
iccolumnwerec
alculated
usingiso
desm
icreactio
nsH
owever
somev
aluesw
erec
alculated
usingiso
gyric
orotherb
alancedequatio
ns
lowastlowastlowastVa
lues
calculated
usingCH
ETAH80
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
4 Advances in Physical ChemistryTa
ble1Com
paris
onof
experim
entalgas-phase
heatof
form
ationvalues
with
values
calculated
usingseveraltheoreticalapproaches
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
methane
minus193(minus1709)
minus158
minus186
minus168
minus180
minus172
minus124
Tetra
nitro
methane
197(2110)
234
206
223
mdash284
181
Azidotrin
itrom
ethane
842(8532)
884
856
840
816
952
792
DMNO(N
-methyl-N
-nitrom
ethanamine)
minus12
05
minus10
minus11
minus16
minus58
minus35
1-Azido-11-d
initroethane
604(6286)
616
604
597
613
682
576
Hexanitroethane
428(291
8)293
337
289
mdash473
302
Nitro
glycerin
minus6671
minus658
minus667
minus698
minus815
minus826
minus720
TTT
943
984
941
938
mdash404
354
RDX(cyclotrimethylen
e-trinitra
mine)
458(4579)
490
440
468
mdash218
457
14-D
initrosopiperazine
464
527
467
466
368lowastlowastlowast
172
127
14-D
initropiperazine
139(1546
)177
126
149
112
20
167
N-N
itro-bis-2
22-tr
initroethylam
ine
2142
212
231
191
mdash346
334
Nitro
benzene
1638(1568)
152
141
148
161
182
182
2-Nitro
phenol
minus3162
minus296
minus311
minus314
minus260
minus310
minus289
3-Nitro
phenol
minus2612
minus260
minus260
minus270
minus260
minus258
minus268
4-Nitro
phenol
minus2741
minus260
minus280
minus282
minus260
minus281
minus285
m-N
itroanilin
e149
169
153
161
171
166
114
p-Nitro
aniline
132
165
128
141
171
129
83
Azidobenzene
930(9919)
948
998
968
974
990
945
1-Azido-4-nitrobenzene
931(9417)
928
918
931
937
947
903
N-N
itrobis-22-dinitro
propylam
ine(DNPN
)minus317
minus287
minus256
minus338
mdashminus150
minus91
PNT(1-
methyl-4
-nitrobenzene)
738
72
63
73
81
75
84
24-DNT(1-
methyl-2
4-dinitrobenzene)
793
86
44
85
44
70
85
Azidom
ethylbenzene
995(9680)
924
991
962
968
947
914
3-Az
ido-3-ethylpentane
406(315
5)281
414
315
329
367
338
TNT(tr
initrotoluene)
575
(123)
136
71
115
08
108
126
22-Dinitroadamantane
minus3688(minus4278)
minus394
minus347
minus413
minus354lowastlowastlowast
minus286
minus439
1-Azidoadam
antane
516(4374)
400
496
446
480
470
289
2-Az
ido-2-phenylp
ropane
874(795
9)750
819
803
798
842
776
HNS
5698
639
595
608
358
582
616
Methylnitrite
minus1564
minus133
minus146
minus139
minus161
minus192
minus219
Methylnitrate
minus292
minus270
minus272
minus273
minus296
minus314
minus284
Dinitrom
ethane
minus141(minus92
0)minus76
minus132
minus78
mdashminus82
minus45
Ethylnitrite
minus259
minus219
minus224
minus249
minus242
minus326
minus323
Ethylnitrate
minus370
minus351
minus349
minus361
minus377
minus395
minus356
Propylnitrite
minus284
minus270
minus273
minus292
minus291
minus377
minus372
2-Methyl-2
-nitropropane
minus4232
(minus4190)
minus402
minus383
minus426
minus423
minus357
minus364
n-Bu
tylnitrite
minus348
minus320
minus320
minus355
minus340
minus426
minus422
t-Butylnitrite
minus410
minus387
minus354
minus408
minus425
minus482
minus486
34-Fu
razand
imethanoldinitrate
26
98
91
minus04
mdashminus40
194
1-Nitropiperidine
minus106(minus887)
minus74
minus99
minus89
minus81
minus155
minus92
Advances in Physical Chemistry 5
Table1Con
tinued
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
sobenzene
481
471
488
455
mdash412
331
Nitro
methylbenzene
734
87
94
90
76113
130
Dinitrom
ethylbenzene
83(14
2)
139
136
145
121
196
184
13-D
imethyl-2
-nitrobenzene
21
14
43
32
02
minus02
14
HNS=111015840 -(12-ethenediyl)b
is[246-trinitrob
enzene]TT
T=hexahydro-13
5-tr
initroso-13
5-tr
iazine
lowastVa
luesfro
mBy
rdandRice
[67]Va
luesin
parenthesesa
rethosethath
aveb
eensubstituted
forcorrespon
ding
valuesin
theo
riginalreferences
etandareu
sedin
thea
lternativee
xperim
entalreference
setSeetext
ford
etailsandexplanation
lowastlowastMosto
fvaluesintheD
FTiso
desm
iccolumnwerec
alculated
usingiso
desm
icreactio
nsH
owever
somev
aluesw
erec
alculated
usingiso
gyric
orotherb
alancedequatio
ns
lowastlowastlowastVa
lues
calculated
usingCH
ETAH80
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Advances in Physical Chemistry 5
Table1Con
tinued
Com
poun
dname
Experim
entallowast
Δ119891119867119900 298g
(kcalm
ol)
T1Δ119891119867119900 298g
(kcalm
ol)
DFT
Atom
icandGroup
contrib
ution
Δ119891119867119900 298g
(kcalm
ol)lowast
DFT
Isod
esmiclowastlowast
Δ119891119867119900 298g
(kcalm
ol)
Group
Additiv
ityΔ119891119867119900 298g
(kcalm
ol)
PM7
Δ119891119867119900 298g
(kcalm
ol)
RM1
Δ119891119867119900 298g
(kcalm
ol)
Nitro
sobenzene
481
471
488
455
mdash412
331
Nitro
methylbenzene
734
87
94
90
76113
130
Dinitrom
ethylbenzene
83(14
2)
139
136
145
121
196
184
13-D
imethyl-2
-nitrobenzene
21
14
43
32
02
minus02
14
HNS=111015840 -(12-ethenediyl)b
is[246-trinitrob
enzene]TT
T=hexahydro-13
5-tr
initroso-13
5-tr
iazine
lowastVa
luesfro
mBy
rdandRice
[67]Va
luesin
parenthesesa
rethosethath
aveb
eensubstituted
forcorrespon
ding
valuesin
theo
riginalreferences
etandareu
sedin
thea
lternativee
xperim
entalreference
setSeetext
ford
etailsandexplanation
lowastlowastMosto
fvaluesintheD
FTiso
desm
iccolumnwerec
alculated
usingiso
desm
icreactio
nsH
owever
somev
aluesw
erec
alculated
usingiso
gyric
orotherb
alancedequatio
ns
lowastlowastlowastVa
lues
calculated
usingCH
ETAH80
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
6 Advances in Physical Chemistry
Table 2 Statistical comparison of experimental gas-phase heat of formation valueswith values calculated using several theoretical approaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g
(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7Δ119891119867298g(kcalmol)
RM1Δ119891119867298g(kcalmol)
rms deviation 50 30 37 54 (34)lowast 118 (60) 129 (59)MAE 37 21 25 33 (25)lowast 75 (49) 79 (48)Max Dev (kcalmol) 135 91 139 212 (96)lowast 539 (132) 589 (126)Number of values plusmn20 kcalmol 17 28 27 19 10 12Number of values plusmn30 kcalmol 25 35 33 24 14 17Number of values plusmn40 kcalmol 32 37 37 28 18 18
1198772 098728 09958 099277 09863
(099435)092817(098063)
091605(098141)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
Table 3 Statistical comparison of alternative experimental gas-phase heat of formation values with values calculated using several theoreticalapproaches
T1Δ119891119867298g(kcalmol)
DFT Atomicand GroupcontributionΔ119891119867298g(kcalmol)lowast
DFTisodesmicΔ119891119867298g(kcalmol)
Group AddΔ119891119867298g(kcalmol)
PM7lowastΔ119891119867298g(kcalmol)
RM1lowastΔ119891119867298g(kcalmol)
rms deviation 29 33 15 55 (35)lowast 120 (54) 122 (45)MAE 23 24 11 31 (23)lowast 73 (42) 68 (36)Max Dev (kcalmol) 69 99 38 212 (115)lowast 539 (132) 589 (120)Number of values plusmn20 kcalmol 23 23 37 23 13 14Number of values plusmn30 kcalmol 31 33 42 25 18 19Number of values plusmn40 kcalmol 38 37 45 28 21 21
1198772 099648 099477 099884 098549
(099353)092435(098574)
092367(09889)
lowastValues in parentheses represent data in which values for compounds having deviations from experiment greater than 140 kcalmol were omitted See text forexplanation
have been reported for 246-trinitrotoluene Thus in placeof the Δ119891119867
119900298g value of 575 kcalmol used by Byrd and Rice
[6 7] we have substituted the value of 123 kcalmol (reportedin ldquoThermochemistry of Organic and Organometallic Com-poundsrdquo by Cox and Pilcher [19]) in the new alternativeexperimental reference data set During the course of thisinvestigation it also appeared that the experimental value fordinitromethylbenzene may be several kcalmol too lowThuswe used procedures similar to those described by Dorofeevaet al [21ndash23] to calculate a Δ119891119867
119900298g reference value of 142 plusmn
03 kcalmol for this compoundThis value was also includedin the alternative reference set These results are found inSupplemental Tables 1S and 2S (see Supplementary Materialavailable online at httpdxdoiorg10115520165082084)
A comparison of Tables 2 and 3 supports the conclusionthat the alternative recommended values as a group areindeed more accurate than the original experimental valuesthat were available to and used by Byrd and Rice [6 7] intheir investigations Except for the DFTAtomic and Groupcontribution approach the mean absolute error (MAE) was
greater for the original experimental reference set than forthe new alternative experimental reference set The fact thatthe opposite was found for the DFTAtomic and Groupcontribution approach is not surprising as many of the com-pounds in the original experimental reference set were usedto parameterize and develop this computational approachNevertheless this approach still performed quite well whencompared to the alternative experimental reference set Ourresults also suggest that the accuracy of the DFTAtomic andGroup contribution approach might benefit from reparame-terization using the alternative experimental reference set
Because the alternative experimental reference setappeared to be more accurate than the original reference setit was used for the comparisons described below
The atom and group equivalent DFT approach describedby Byrd and Rice [6 7] and the T1 procedure both yieldedcalculated results in which 51 (2345) of the predictedΔ119891119867119900298g values were within plusmn20 kcalmol of values in the
reference set The rms deviation from experiment for thepredicted T1 gas-phase heat of formation values was found
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Advances in Physical Chemistry 7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
0minus50 50 100minus100
Experimental values (kcalmol)
(a) T1
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(b) DFTAtomic and Group contribution
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(c) DFTisodesmic
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(d) Group Add
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus100 0 50 100minus50
Experimental values (kcalmol)
(e) PM7
minus100
minus50
0
50
100
Calc
ulat
ed v
alue
s (kc
alm
ol)
minus50 0 50 100minus100
Experimental values (kcalmol)
(f) RM1
Figure 1 Calculated gas-phase heat of formation values versus experimental values Gas-phase heat of formation values were calculated using(1) the multilevel ab initio approach (T1) described by Ohlinger et al [8] as implemented in the Spartanrsquo10 and 14 suite of programs (a) (2) theDFTAtomic and Group contribution approach developed and described by Byrd and Rice [6 7] (b)The experimental values and calculatedvalues used to construct (b) are those published by Byrd and Rice [6 7] (b) is identical to Figure 1a in their manuscript except for the fact thatthe alternative set of experimental Δ119891119867
119900298g reference values are also included (3) Density functional theory using isodesmic isogyric and
other balanced equations as described herein (c) (4)The Benson Group Additivity approach as implemented in the and NIST and CHETAH80 software programs (d) (5) semiempirical theory (PM7 andRM1) as implemented inMOPAC2012 and the Spartan 14 suite of programs ((e)and (f) resp) Open squares represent calculatedΔ119891119867
119900298g values versus the experimentalΔ119891119867
119900298g values Closed circles represent calculated
Δ119891119867119900298g values versus the alternative experimental Δ119891119867
119900298g reference values as described in the text Least square regression analysis and
calculation of 1198772 values were accomplished using KaleidaGraph graphing software (Synergy Software Reading PA) 1198772 values are presentedin Tables 2 and 3
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
8 Advances in Physical Chemistry
Table 4 Balanced equations used to calculate heat of formation values of compounds in the test set
Isodesmic isogyric or other balanced equations1 Dinitromethane + methanerarr2 nitromethane2 2 dinitromethanerarrmethane + tetranitromethane3 Methyl azide + trinitromethanerarrmethane + azidotrinitromethane4 N-Ethyl-N-nitroethanamine + dimethylaminerarr N-ethyl-N-ethanamine + N-methyl-N-nitromethanamine (DMNO)5 11-Dinitropropane + methyl aziderarr ethane + 1-azido-11-dinitroethane6 2 111-Trinitropropanerarr butane + hexanitroethane7 3 propylnitraterarr2 propane + nitroglycerin8 RDX + 3 nitrosyl hydriderarr3 HNO2 + TTT (hexahydro-135-trinitroso-135-triazine)9 3 1-nitropiperidinerarr2 cyclohexane + RDX10 1-Nitrosopiperidine + TTTrarr2 14-dinitrosopiperazine11 Piperazine + 2 dimethylnitraminerarr 2 dimethylamine + 14-dinitropiperazine12 Bis-222-trinitroethylamine + HNO2 rarr H2 + N-nitro-bis-222-trinitroethylamine13 Benzene + 4-nitroanilinerarr aniline + nitrobenzene14 Phenol + nitrobenzenerarr benzene + 2-nitrophenol15 Phenol + nitrobenzenerarr benzene + 3-nitrophenol16 Phenol + nitrobenzenerarr benzene + 4-nitrophenol17 Aniline + nitrobenzenerarr benzene + m-nitroaniline18 Aniline + nitrobenzenerarr benzene + p-nitroaniline19 Methyl azide + benzenerarrmethane + azidobenzene20 Methyl azide + nitrobenzenerarrmethane + 1-azido-4-nitrobenzene
21 N-Propylpropanamine + 4 1-nitropropane + dimethylnitraminerarr dimethylamine + N-nitro-bis-22-dinitropropylamine (DNPN)+ 4 propane
22 Toluene + nitrobenzenerarr benzene + PNT (1-methyl-4-nitrobenzene)23 Toluene + 2 nitrobenzenerarr2 benzene + 24-DNT (1-methyl-24-dinitrobenzene)24 Methyl azide + toluenerarrmethane + azidomethylbenzene25 Methyl azide + 3-ethylpentanerarrmethane + 3-azido-3-ethylpentane26 Toluene + 135-trinitrobenzenerarr benzene + TNT (246-trinitrotoluene)27 2 2-nitropropane + adamantanerarr2 propane + 22-dinitroadamantane28 Methyl azide + adamantanerarrmethane + 1-azidoadamantane29 Methyl azide + 2-phenylpropanerarrmethane + 2-azido-2-phenylpropane30 trans-Stilbene + 2 135-trinitrobenzenerarr2 benzene + HNS (111015840-(12-ethenediyl)bis[246- trinitrobenzene])31 Isopropyl nitrite + methanerarr propane + methyl nitrite32 Propyl nitrate + methanerarr propane + methyl nitrate33 2 1-Nitropropane + methanerarr2 propane + dinitromethane34 Propyl nitrite + ethanerarr propane + ethyl nitrite35 Propyl nitrate + ethanerarr propane + ethyl nitrate36 Isopropyl nitriterarr propyl nitrite37 2-Nitropropane + 2-methylpropanerarr 2-methyl-2-nitropropane + propane38 Isopropyl nitrite + butanerarr n-butyl nitrite + propane39 Isopropyl nitrite + isobutanerarr t-butyl nitrite + propane40 2 1-pyrroline + tetrahydrofuran + 2methyl nitraterarr H2 + 34-furazandimethanol dinitrate + 2 cyclopentane41 Piperidine + dimethylnitraminerarr 1-nitropiperidine + dimethylamine42 Phenyl radical + nitric oxiderarr nitrosobenzene43 Toluene + 1-nitropropanerarr propane + nitromethylbenzene44 Toluene + 11-dinitropropanerarr propane + dinitromethylbenzene45 2 Toluene + nitrobenzenerarr2 benzene + 13-dimethyl-2-nitrobenzene
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Advances in Physical Chemistry 9
to be 29 kcalmol with a mean absolute error (MAE) of23 kcalmol and a maximum deviation of 69 kcalmol Thiscompares with an rms deviation of 33 kcalmol a MAE of24 kcalmol and a maximum deviation of 99 kcalmol usingdata calculated by Byrd andRice [6 7] It should be noted thatthe T1 procedure has been previously shown to reproduceexperimental heat of formation values of a large (1805) set oforganicmolecules with an rms deviation of 275 kcalmol anda MAE of 203 kcalmol [8] Clearly the rms andMAE valuesfor the T1 approach reported here agree well with those valuesreported for the larger data set
These results led us to compare older approaches usedto predictcalculate Δ119891119867
119900298g values Specifically we used
Bensonrsquos group additivity (or group contribution) approach[10 11] We also used density functional theory coupled withthe use of selected isodesmic isogyric and other balancedequations One disadvantage of Bensonrsquos group additivityapproach is that group values for some of the substructuresof several compounds in the test set are not availableWe were partially able to overcome this problem by usingexisting data which allowed us to calculate some of thesegroup values In total we were able to use Bensonrsquos groupadditivity approach to calculate Δ119891119867
119900298g values for 36 of 45
compounds in the test set This approach yielded calculatedresults in which 64 (2336) of the calculated Δ119891119867
119900298g
values were within plusmn20 kcalmol of experimental valuesThe rms deviation from experiment for the predicted groupadditivity gas-phase heat of formation valueswas 55 kcalmolwith an MAE of 31 kcalmol with a maximum deviationof 212 kcalmol for HNS A relatively large deviation fromexperiment of 148 kcalmol was also found for nitroglycerinA significant drawback to the use of group additivity theoryis that calculated Δ119891119867
119900298g values are sometimes affected
by structural features that are not adequately addressed bytheory Although Δ119891119867
119900298g values for some strained com-
pounds can be accurately predicted by adding correctionfactors for structural characteristics such as ring strain thepresence of gauche carbons and C1ndashC5 repulsions contri-bution of certain other structural features do not appear tobe adequately addressed by group additivity theory HNSand nitroglycerin seem to fall into this category Whenthese compounds were eliminated from the test set the rmsdeviation from experiment for the predicted group additivityΔ119891119867119900298g values was found to be 35 kcalmol with an MAE
of 22 kcalmol and a maximum deviation of 115 kcalmol forthe remaining 34 compoundsThe relevant point is that groupadditivity theory is often quite accurate however onemust becareful regarding its application
Density functional theory coupledwith the use of selectedbalanced reactions was also used to calculate Δ119891119867
119900298g values
for comparison to the test setThe reactions used in this inves-tigation are presented in Table 4 We determined that therms deviation from experiment for the calculated Δ119891119867
119900298g
values was 15 kcalmol with an MAE of 11 kcalmol and amaximum deviation of 38 kcalmol This approach yieldedcalculated results in which 82 (3745) of theΔ119891119867
119900298g values
werewithinplusmn20 kcalmol of experimental values Despite thefact that for time considerations we selected a medium size
basis set density functional theory coupled with the use ofisodesmic and other balanced equations was still the mostaccurate approach of the sixmethodswe compared Althoughaccurate it is necessary to mention some problems with thisapproach First of all different balanced equations can leadto different Δ119891119867
119900298g values Often such differences are small
But sometimes such differences can be substantial Cramer[12] has noted that ldquothe construction of an isodesmic equationis something of an art depending on chemical intuition andavailable experimental datardquo
It should also be mentioned that when computationtime is not a consideration the use of larger basis setsmight be expected to result in even greater accuracy IndeedDorofeeva and colleagues [21ndash23] have have shown thatthe use of high level computational theory coupled withmultiple isodesmic isogyric and other balanced equationscan result in calculation of Δ119891119867
119900298g values that are suffi-
ciently accurate that they feel confident in recommendingconsensus values in many cases where there is discrep-ancy between experimental values andor between computedvalues
Finally two semiempirical models (RM1 and PM7) wereused to calculate Δ119891119867
119900298g Semiempirical models are attrac-
tive because they are very rapid and their accuracy continuesto improve [13 14] However RM1 and PM7 were found tobe less accurate than the other approaches used to calculateΔ119891119867119900298g values for compounds in the test set used for this
investigation Even when Δ119891119867119900298g values having very large
(greater than 14 kcalmol) deviations from reference valueswere omitted rms and MAE values for calculated RM1 andPM7 data sets were substantially greater than those of thefour other computational approaches investigated (Tables 2and 3)
4 Conclusion
Because substantial interest exists in developing relativelyrapid and accurate procedures for predicting gas-phase heatof formation values for energetic compounds our overall goalwas to determine which of several computational approachesis most suitable for this endeavor None of the computationalapproaches were uniformly accurate within plusmn20 kcalmolof experimental values (ie the presumably more accuratealternative experimental values)
However four of the computational approaches investi-gated were able tomeet this level of accuracy greater than 51of the time Moreover these four computational approacheswere accurate to within plusmn40 kcal greater than 77 of thetime For relatively simple compounds in which correctionfactors can be used to account for ring strain and so forthand other factors do not make substantial contribution toΔ119891119867119900298g we conclude that the group additivity approach is
about as accurate as those approaches based on higher levelsof theory For compounds that are structurallymore complexthe approach using DFT coupled with the use of isodesmicisogyric and other balanced equations is more accurate butmore time consuming than the DFTAtomic and Groupcontribution method described by Byrd and Rice [6 7] and
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
10 Advances in Physical Chemistry
the T1 method [8] for this set of compounds However sincecalculated values are often similar and mutually supportiveit seems that a reasonable approach would be to use any (orall) of these four procedures when this level of accuracy isacceptable and the goal is to compare predicted properties ofnew or theoretical compounds with those of structurally sim-ilar compounds whose experimental values andor computedvalues are well established
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] H M Xiao X J Xu and L Qiu Theoretical Design of HighEnergy Density Materials Science Press Beijing China 2008
[2] R E Kirk and D F Othmer Encyclopedia of Chemical Technol-ogy vol 5 Wiley New York NY USA 2004
[3] J Giles ldquoGreen explosives collateral damagerdquo Nature vol 427no 6975 pp 580ndash581 2004
[4] J P Agrawal and J E Field ldquoRecent trends in high-energymaterialsrdquo Progress in Energy and Combustion Science vol 24no 1 pp 1ndash30 1998
[5] J Akhavan The Chemistry of Explosives Royal Society ofChemistry Cambridge UK 2004
[6] E F C Byrd and B M Rice ldquoImproved prediction of heatsof formation of energetic materials using quantum mechanicalcalculationsrdquo Journal of Physical Chemistry A vol 110 no 3 pp1005ndash1013 2006
[7] E F C Byrd and B M Rice ldquoCorrection improved predictionof heats of formation of energetic materials using quantummechanical calculationsrdquo The Journal of Physical Chemistry Avol 113 no 9 p 5813 2009
[8] W S Ohlinger P E Klunzinger B J Deppmeier and W JHehre ldquoEfficient calculation of heats of formationrdquo Journal ofPhysical Chemistry A vol 113 no 10 pp 2165ndash2175 2009
[9] L A Curtiss P C Redfern K Raghavachari V Rassolov andJ A Pople ldquoGaussian-3 theory using reduced Moslashller-PlessetorderrdquoThe Journal of Chemical Physics vol 110 no 10 pp 4703ndash4709 1999
[10] S W Benson and J H Buss ldquoAdditivity rules for the estima-tion of molecular properties Thermodynamic propertiesrdquo TheJournal of Chemical Physics vol 29 no 3 pp 546ndash572 1958
[11] SW Benson F R Cruickshank DM Golden et al ldquoAdditivityrules for the estimation of thermochemical propertiesrdquo Chemi-cal Reviews vol 69 no 3 pp 279ndash324 1969
[12] C J Cramer Essentials of Computational Chemistry Theoriesand Models John Wiley amp Sons New York NY USA 2ndedition 2004
[13] G B Rocha R O Freire A M Simas and J J P Stewart ldquoRM1a reparameterization of AM1 for H C N O P S F Cl Br and IrdquoJournal of Computational Chemistry vol 27 no 10 pp 1101ndash11112006
[14] J J P Stewart ldquoOptimization of parameters for semiempiricalmethods VI more modifications to the NDDO approximationsand re-optimization of parametersrdquo Journal of Molecular Mod-eling vol 19 no 1 pp 1ndash32 2013
[15] Y Zhao andDG Truhlar ldquoTheM06 suite of density functionalsfor main group thermochemistry thermochemical kineticsnoncovalent interactions excited states and transition ele-ments two new functionals and systematic testing of fourM06-class functionals and 12 other functionalsrdquo TheoreticalChemistry Accounts vol 120 no 1ndash3 pp 215ndash241 2008
[16] Y Zhao and D G Truhlar ldquoDensity functionals with broadapplicability in chemistryrdquo Accounts of Chemical Research vol41 no 2 pp 157ndash167 2008
[17] H Y Afeefy J F Liebman and S E Stein ldquoNeutral thermo-chemical datardquo in NIST Chemistry WebBook P J Linstrom andW G Mallard Eds NIST Standard Reference Database no 69National Institute of Standards and Technology GaithersburgMd USA 2005
[18] J B Pedley R D Naylor and S P KirbyThermochemical Dataof Organic Compounds Chapman amp Hall New York NY USA1986
[19] J O Cox and G Pilcher Thermochemistry of Organic andOrganometallic Compounds Academic Press New York NYUSA 1970
[20] OVDorofeeva andMA Suntsova ldquoEnthalpies of formation ofnitromethane and nitrobenzene theory vs experimentrdquo Journalof Chemical Thermodynamics vol 58 pp 221ndash225 2013
[21] O V Dorofeeva O N Ryzhova and M A Suntsova ldquoAccurateprediction of enthalpies of formation of organic azides bycombining G4 theory calculations with an isodesmic reactionschemerdquo Journal of Physical Chemistry A vol 117 no 31 pp6835ndash6845 2013
[22] M A Suntsova and O V Dorofeeva ldquoUse of G4 theoryfor the assessment of inaccuracies in experimental enthalpiesof formation of aliphatic nitro compounds and nitraminesrdquoJournal of Chemical amp Engineering Data vol 59 no 9 pp 2813ndash2826 2014
[23] M A Suntsova and O V Dorofeeva ldquoComment on lsquouse ofG4 theory for the assessment of inaccuracies in experimentalenthalpies of formation of aliphatic nitro compounds andnitraminesrsquordquo Journal of Chemical amp Engineering Data vol 60no 5 pp 1532ndash1533 2015
[24] S P Verevkin V N EmelrsquoYanenko V Diky and O V Doro-feeva ldquoEnthalpies of formation of nitromethane and nitroben-zene new experiments vs quantum chemical calculationsrdquoTheJournal of ChemicalThermodynamics vol 73 pp 163ndash170 2014
[25] CHETAHTheComputer Program for ChemicalThermodynam-ics and Energy Release Evaluation University of SouthAlabamaMobile Ala USA ASTM International West ConshohockenPa USA 2009
[26] NCohen and SWBenson ldquoEstimation of heats of formation oforganic compounds by additivity methodsrdquo Chemical Reviewsvol 93 no 7 pp 2419ndash2438 1993
[27] J A Bumpus and P H Willoughby ldquoOn the heat of formationof nitromethanerdquo Journal of Physical Organic Chemistry vol 21no 9 pp 747ndash757 2008
[28] Y K Knobelrsquo E A Miroshnichenko and Y A LebedevldquoHeats of combustion of nitromethane and dinitromethaneenthalpies of formation of nitromethyl radicals and energies ofdissociation of bonds in nitro derivatives of methanerdquo Bulletinof the Academy of Sciences of the USSR Division of ChemicalScience vol 20 no 3 pp 425ndash428 1971
[29] E A Miroshnichenko T S Konrsquokova Y O Inozemtsev VP VorobrsquoEva Y N Matymhin and S A Shevelev ldquoBondenergies and formation enthalpies of mono- and polyradicals in
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Advances in Physical Chemistry 11
nitroalkanes 1 Nitromethanesrdquo Russian Chemical Bulletin vol58 no 4 pp 772ndash776 2009
[30] C Y Lin M W George and P M W Gill ldquoEDF2 a densityfunctional for predicting molecular vibrational frequenciesrdquoAustralian Journal of Chemistry vol 57 no 4 pp 365ndash370 2004
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Inorganic ChemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Carbohydrate Chemistry
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Physical Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom
Analytical Methods in Chemistry
Journal of
Volume 2014
Bioinorganic Chemistry and ApplicationsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
SpectroscopyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Medicinal ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chromatography Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Applied ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Theoretical ChemistryJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Spectroscopy
Analytical ChemistryInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Quantum Chemistry
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Organic Chemistry International
ElectrochemistryInternational Journal of
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CatalystsJournal of