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Computational Quantum Chemistry. II. Principles and Methods. Computational Quantum Chemistry Part I. Obtaining Properties

Computational Quantum Chemistry Part I: Obtaining Properties

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Computational Quantum Chemistry. II. Principles and Methods.

Computational Quantum Chemistry

Part I. Obtaining Properties

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Computational Quantum Chemistry. II. Principles and Methods.

Properties are usually the objective.

• May require accurate, precisely known numbers – Necessary for accurate design, costing, safety analysis

 – Cost and time for calculation may be secondary

• Often, accurate trends and estimates are at least asvaluable – Can be correlated with data to get high-accuracy predictions

 – Can identify relationships between structure and properties

 – A quick, sufficiently accurate number or trend may be of enormous value in early stages of product and processdevelopment, for for operations, or for troubleshooting

• Great data are best; but also theory-based predictions

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Computational Quantum Chemistry. II. Principles and Methods.

Restate: What kind of properties come directlyfrom computational quantum chemistry?

• Energies, structures optimized with respect toenergy, harmonic frequencies, and other propertiesbased on zero-kelvin electronic structures

• Interpret with theory to get derived properties and

properties at higher temperatures• The theoretical basis for most of this translation is

Quantum-mechanical energies

Statistical mechanicsStatistical mechanics

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Computational Quantum Chemistry. II. Principles and Methods.

Simplest properties are interaction energies:Here, the van der Waals well for an Ar dimer.

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Simplest chemical bonds are much stronger.

-60

-40

-20

0

20

40

60

80

100

0 1 2 3

Br-Br, angstroms

UB3LYP/6-311++G(3df,3dp) withbasis-set superposition error correction

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At zero K, define the dissociation energy D0 asthe well depth less zero-point energy.

Alternate view isthat

D

0=

E 0(dissociatedpartners)

- [E 0(molecule) +ZPE],

where ZPE is thezero-K energy of the stretchingvibration.

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Geometry is then found by optimizing computedenergy with respect to coordinates (here, 1).

Transitionstate

Ground state - minimumw.r.t. all coordinates

Minimum w.r.t. all butreaction coordinate

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Vibrational frequencies (at 0 K) are calculatedusing parabolic approximation to well bottom.

• How many? Need 3N atoms coordinates to define molecule – If free translational motion in 3 dimensions, then three translational

degrees of freedom

 – Likewise for free rotation: 3 d.f. if nonlinear, 2 if linear  – Thus, 3N atoms-5 (nonlinear) or 3N atoms-6 (nonlinear) vibrations

• For diatomic, ∂2E /∂r 2 = force constant k [for r  dimensionless]

 – F (= ma = m∂2r /∂t 2) = -kr is a harmonic oscillator in Newtonianmechanics (Hooke’s law)

 – Harmonic frequency is (k/m)1/2/2π s-1 or (k/m)1/2/2πc cm-1 (wavenumbers)

• For polyatomic, analyze Hessian matrix [∂2E /∂r 

i∂r 

 j] instead

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Next, determine ideal-gas thermochemistry.

• Start with ∆f H 0° and understand how energies are given – We recognize that energies are not absolute, but rather must be

defined relative to some reference

 – We use the elements in their equilibrium states at standardpressure, typically 1 atm or 1 bar (0.1 MPa):

 – From ab initio calculations, energy is typically referenced tothe constituent atoms, fully dissociated. Get ∆f H 0° from:

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To go further, we need statistical mechanics.

• The partition function q(V,T)=∑exp(-i /T ) arisesnaturally in the development of Maxwell-Boltzmannand Bose-Einstein statistics

• Quantum mechanics gives the quantized values of energy and thus the partition functions for: – Translational degrees of freedom

 – External rotational degrees of freedom (linear or nonlinear 

rotors) – Rovibrational degrees of freedom (stretches, bends, other 

harmonic oscillators, and internal rotors)

• Electronic d.f. require only electronic  anddegeneracy.

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Entropy, energy, and heat capacity can beexpressed in terms of the partition function(s).

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Simplest treatment is of ideal gas, beginningwith the translation degrees of freedom.

• Quantum mechanics for pure translation in 3-D gives:

• Note the standard-state pressure in the last equation

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Rigid-rotor model for external rotation introducesthe moment of inertia I and rotational symmetry

ext .

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Add harmonic oscillators with frequencies i andelectronic degeneracy of g 

o.

• For each harmonic oscillator,

 – It is convenient to redefine zero for vibrational energy aszero rather than 0.5h; this shift requires the zero-pointenergy correction to energy. As a result,

• If only the ground electronic state contributes, then(C v 

o )elec =0 and (S 

o )elec =R·ln g o. Otherwise, need g 1 

& 1.

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Taken together, they give us ideal-gas C  po

andS 

o, and integration over T gives ∆

f H 

298 

o.

• Even for gases, there are further complications beyondthe Rigid-Rotor Harmonic Oscillator model (RRHO) – Low-frequency modes may be fully excited

 – Anharmonic behaviors like free and hindered internal rotors – We can generally deal with the statistical mechanics that

complicate these issues

 – Computational chemistry even can calculate anharmonicitieslike shape of the potential well or barriers to rotation

• Likewise, we can calculate terms needed to modelthermochemistry of liquids, solutions, and solids

• Likewise for phase equilibrium and transport properties.

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Now examine kinetics from quantum chemistry.

• We have already discussed how to locate transitionstates along the “minimum energy path”: – A stationary point (∂E/∂ = 0) with respect to all displacements

 – A minimum with respect to all displacements except the onecorresponding to the reaction coordinate

 – More precisely, all but one eigenvalue of the Hessian matrix of second derivatives are positive (real frequencies) or zero (for the overall translational and rotational degrees of freedom

• The exception: Motion along the reaction coordinate – It corresponds to a frequency ‡ that is an imaginary number 

 – If e it  is a sinusoidal oscillation, then ‡ is exponential change

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The entire minimum energy path may not be a simplemotion, but the transition state is still separable.

05

1015202530

3540

45

50

55Potential energysurface for O-O

bond fission inCH2CHOO·B3LYP/6-31G(d);Kinetics analysis

based on

O-O reaction-

coordinate-driving calculation at 

B3LYP/6-311+G(d,p)

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Consider transition-state thermochemistry.

• It has a geometrical structure, electronic state, andvibrations, so assume we can calculate q‡ , H ‡ , S ‡ , C  p

‡ 

• For classical transition-state theory, Eyring assumed:

 – At equilibrium, TS would obey equilibrium relations with reactant – The reaction coordinate would be a separable degree of freedom

 – Thus, with it treated as a 1-D translation or a vibration,

• Recognizing the form of a thermochemical K eq,

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Computational quantum chemistry gives very usefulnumbers for E 

act , also can give good A-factor.

• For gas kinetics, calculate H ‡ , S ‡ , C  p‡ , ∆S ‡ (T), ∆H ‡ (T)

 – Reaction coordinate contributes zero to S ‡ 

 – Standard-state correction is necessary for bimolecular reactions

 – E act , like bond energy, may be adequate for comparisons

• Most other factors can be handled – If reaction coordinate involves H motion and low T , quantum-

mechanical tunneling may occur (use calculated barrier shape)

 – High-pressure limit is required (use RRKM, Master Equation) – Low-frequency modes like internal rotors give the most

uncertainty in ∆S ‡ , but we can calculate barriers

 – In principle, the same for anharmonicity of vibrations

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Computational Quantum Chemistry. II. Principles and Methods.

Other properties are predicted, too;Advances in methods have been aided by demand.

• Good semi-empirical and ab initio calculations for excited states give pigment and dye behaviors

• Solvation models by Tomasi and others make liquid-phase behaviors more calculable

• Hybrid methods have proven powerful – QM/MM for biomolecule structure and ab-initio molecular 

dynamics for ordered condensed phases; calculate

interactions as dynamics calculations proceed – Spatial extrapolation such as embedded-atom models of 

catalysts and Morokuma’s ONIOM method; connect or extrapolate domains of different-level calculations

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Computational Quantum Chemistry. II. Principles and Methods.

Computational Quantum Chemistry

Part II. Principles and Methods.

In parallel, see the faces behind the names.

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Computational Quantum Chemistry. II. Principles and Methods.

“ Ab initio” is widely but loosely used to mean“from first principles.”

• Actually, there is considerable use of assumed formsof functionalities and fitted parameters.

• John Pople noted that this interpretation of the Latinis by adoption rather than intent. In its first use:

• The two groups of Parr, Craig, and Ross [J ChemPhys 18, 1561 (1951)] had carried out some of thefirst calculations separately across the Atlantic - and

thus described each set of calcs as being ab initio!

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Computational Quantum Chemistry. II. Principles and Methods.

Three key features of theory are required for ab

initio calculations.

• Understand how initial specification of nuclear positions is used to calculate energy – Solving the Schrödinger equation

• Understand “basis sets” and how to choose them – Functions that represent the atomic orbitals

 – e.g., 3-21G, 6-311++G(3df,2pd), cc-pVTZ

• Understand levels of theory and how to choose them

 – Wavefunction methods: Hartree-Fock, MP4, CI, CAS – Density functional methods: LYP, B3LYP, etc.

 – Compound methods: CBS, G3

 – Semiempirical methods: AM1, PM3

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Computational Quantum Chemistry. II. Principles and Methods.

Initially, restrict our discussion

to an isolated molecule.• Equivalent to an ideal gas, but may be a cluster of 

atoms, strongly bonded or weakly interacting.

• Easiest to think of a small, covalently bondedmolecule like H2 or CH4 in vacuo.

• Most simply, the goal of electronic structure

calculations is energy.

• However, usually we want

energy of an optimizedstructure and the energy’svariation with structure.

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Computational Quantum Chemistry. II. Principles and Methods.

Begin with the Hamiltonian function,an effective, classical way to calculate energy.

• Express energy of a single classical particle or an N-particle collection as a Hamiltonian function of the 3Nmomenta p j and 3N coordinates q j ( j =1,N) such that:

where:

  H = Kinetic Energy (T) + Potential Energy (V)

= Total Energy

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Computational Quantum Chemistry. II. Principles and Methods.

For quantum mechanics,a Hamiltonian operator is used instead.

• Obtain a Hamiltonian function for a wave using theHamiltonian operator:

to obtain:

where is the “wavefunction,” an eigenfunctionof the equation

• Born recognized that 2 is the probability density function

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Computational Quantum Chemistry. II. Principles and Methods.

For quantum molecular dynamics, retain t ;Otherwise, t -independent.

• Separation of variables gives (q) and thus the usualform of the Schroedinger or Schrödinger equation:

• If the electron motions can be separated from thenuclear motions (the Born-Oppenheimer 

approximation), then the electronic structure can besolved for any set of nuclear positions.

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Computational Quantum Chemistry. II. Principles and Methods.

e-

proton

Easiest to consider H atom first as a prototype.

• Three energies: – Kinetic energy of the nucleus.

 – Kinetic energy of the electron.

 – Proton-electron attraction.

• With more atoms, also: – Internuclear repulsion

 – Electron-electron repulsion.

• Electrons are in specific quantum states called orbitals.• They can be in excited states (higher-energy orbitals).

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Computational Quantum Chemistry. II. Principles and Methods.

Restate the nonrelativistic electronicHamiltonian in atomic units.

• With distances in bohr (1 bohr = 0.529 Å) andwith energies in hartrees (1 hartree = 627.5 kcal/mol),

(After Hehre et al., 1986)

where

• [Breaks down when electrons approach the speed of light,the case for innermost electrons around heavy atoms]

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Computational Quantum Chemistry. II. Principles and Methods.

Set up , the system wavefunction.

• Need functionality (form) and parameters.

• (1) Use one-electron orbital functions (“basisfunctions”) to ...

• (2) Compose the many-electron molecular orbitals  by linear combination, then ...

• (3) Compose the system from ’s.

• Wavefunction must be “antisymmetric” – Exchanging identical electrons in should give -

 – Characteristic of a “fermion”; vs. “bosons” (symmetric)

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Computational Quantum Chemistry. II. Principles and Methods.

H-atom eigenfunctions correspond tohydrogenic atomic orbitals.

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Computational Quantum Chemistry. II. Principles and Methods.

Construct each MO i by LCAO.

• Lennard-Jones (1929) proposed treatingmolecular orbitals as linear combinationsof atomic orbitals (LCAO):

• Linear combination of  p orbital on one atom with p orbitalon another gives bond:

• Linear combination of s orbital on one atom with s or  p orbital on another gives bond:

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Computational Quantum Chemistry. II. Principles and Methods.

Molecular  includes each electron.

• First, include spin (=-1/2,+1/2) of each e-. – Define a one-electron spin orbital, ( x,y,z ,) composed of a

molecular orbital ( x,y,z ) multiplied by a spin wavefunction

or .• Next, compose as a determinant of ’s.

 – Interchange row => Change sign; Functionally antisymmetric.

<- Electron 1 in all ’s;<- Electron 2 in all ’s;

<- Electron n in all ’s

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Computational Quantum Chemistry. II. Principles and Methods.

However, basis functions i need not be purelyhydrogenic - indeed, they cannot be.

• Form of basis functions must yield accuratedescriptions of orbitals.

• Hydrogenic orbitals are reasonable starting points,

but real orbitals: – Don’t have fixed sizes,

 – Are distorted by polarization, and

 – Involve both valence electrons (the outermost, “bonding”

shell) and non-valence electrons.• Hydrogenic s-orbital has a cusp at zero, which turns

out to cause problems.

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Computational Quantum Chemistry. II. Principles and Methods.

Simulate the real functionality (1).

• Start with a function that describes hydrogenic orbitalswell.

 – Slater functions; e.g.,

 – Gaussian functions; e.g.,• No s cusp at r =0

• However, all analytical integrals

 – Linear combinations of 

gaussians; e.g., STO-3G• 3 Gaussian “primitives” tosimulate a STO

• (“Minimal basis set”)

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Computational Quantum Chemistry. II. Principles and Methods.

 – Alternatively, size adjustment only for outermost electrons(“split-valence” set) to speed calcs

 – For example, the 6-31G set:

• Inner orbitals of fixed size based on 6 primitives each• Valence orbitals with 3 primitives for contracted limit, 1 primitive for 

diffuse limit

 – Additional very diffuse limits may be added (e.g., 6-31+G or 6-311++G)

Simulate the real functionality (2).

• Allow size variation.

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Computational Quantum Chemistry. II. Principles and Methods.

Simulate the real functionality (3).

• Allow shape distortion (polarization). – Usually achieved by mixing orbital types:

 – For example, consider the 6-31G(d,p) or 6-31G** set:• Add d polarization to p valence orbitals, p character to s

• Can get complicated; e.g., 6-311++G(3df,2pd)

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Computational Quantum Chemistry. II. Principles and Methods.

Simulate the real functionality (4).

• A noteworthy improvement is the set of CompleteBasis Set methods of Petersson. – Better parameterization of finite basis sets.

 – Extrapolation method to estimate how result changes due toadding infinitely more s,p,d,f orbitals

• Another basis-set improvement is development of Effective Core Potentials.

 – As noted before, for transition metals, innermost electronsare at relativistic velocities

 – Capture their energetics with effective core potentials

 – For example, LANL2DZ (Los Alamos N.L. #2 Double Zeta).

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Computational Quantum Chemistry. II. Principles and Methods.

The third aspect is solution method.

• Hartree-Fock theory is the base level of wavefunction-based ab initio calculation.

• First crucial aspect of the theory:The variational principle. – If   is the true wavefunction, then for any model

antisymmetric wavefunction , E ()>E (). Therefore theproblem becomes a minimization of energy with respect tothe adjustable parameters, the C 

 µi 

’s and ’s.

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Computational Quantum Chemistry. II. Principles and Methods.

The Hartree-Fock result omits electron-electroninteraction (“electron correlation”).

• The variational principle led to the Roothaan-Hall equations (1951) for closed-shell wavefunctions:

• i is diagonal matrix of one-electron energies of the i .

• F , the Fock matrix, includes the Hamiltonian for a single electroninteracting with nuclei and a self-consistent field of other electrons; S is an atomic-orbital overlap matrix.

• All electrons paired (RHF); there are analogous UHF equations.

or 

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Computational Quantum Chemistry. II. Principles and Methods.

One improvement is to use“Configuration Interaction”.

• Hartree-Fock theory is limited by its neglect of electron-electron correlation. – Electrons interact with a SCF, not individual e’s.

• “Full CI” includes the Hartree-Fock ground-statedeterminant and all possible variations.

 – The wavefunction becomeswhere s includes all combinations

of substituting electrons into H-F virtualorbitals.

 – The a’s are optimized; not so practical.

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Computational Quantum Chemistry. II. Principles and Methods.

Partial CI calculations are feasible.

• CIS (CI with Singles substitutions), CISD, CISD(T)(CI with Singles, Doubles, and approximate Triples) – CI calculations where the occupied i elements in the SCF

determinant are substituted into virtual orbitals one and two at a timeand excited-state energies are calculated.

• CASSCF (Complete Active Space SCF) is better: Onlya few excited-state orbitals are considered, but theyare re-optimized rather than the SCF orbitals.

• Other variants: QCISD, Coupled Cluster methods. 

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Computational Quantum Chemistry. II. Principles and Methods.

Perturbation Theory is an alternative.

• Møller and Plesset (1934) developed an electronicHamiltonian based on an exactly solvable form 0  and a perturbation operator:

• A consequence is that the wavefunction and theenergy are perturbations of the Hartree-Fock results,

including electron-electron correlation effects that H-Fomits.

• Most significant: MP2 and MP4.

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Computational Quantum Chemistry. II. Principles and Methods.

Pople emphasizes matrix extrapolation.

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Computational Quantum Chemistry. II. Principles and Methods.

Compound methods aim at extrapolation.

• The G1, G2, and G3 methods of Pople and co-workerscalculate energies in cells of their matrix, then projectmore accurately.

 – G2 gave ave. error in ∆H f of ±1.59 kcal/mol. – G3 gives ave. error in ∆H f of ±1.02 kcal/mol.

• CBS methods are compound methods that giveimpressive results.

• Melius and Binkley’s BAC-MP4 is based onMP4/6-31G(d,p)//HF/6-31G(d) calculation.

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Computational Quantum Chemistry. II. Principles and Methods.

Besides energy, calculations give electrondensity, HOMO, LUMO.

• Electron density (from electron probability densityfunction = 2) is an effective representation of molecular shape.

• Each molecular orbital is calculated, including highest-energy occupied MO (HOMO) and lowest-energyunoccupied MO (LUMO)

• HOMO-LUMO gap is useful for Frontier MO theory and

for band gap analysis.

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Computational Quantum Chemistry. II. Principles and Methods.

Results can be seen with ethylene.

Calculations and graphics at HF/3-21G* withMacSpartan Plus (Wavefunction Inc.).

Electron

density HOMO;

LUMO

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Computational Quantum Chemistry. II. Principles and Methods.

An increasingly important approachis density-functional theory.

• From Hohenberg and Kohn (1964) – Energy is a functional of electron density: E[]

 – Ground-state only, but exact minimizes E[]

• Then Kohn and Sham (1965) – Variational equations for a “local” functional:

where E  xc contains electron correlation.

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Computational Quantum Chemistry. II. Principles and Methods.

Local density functionals aren’t very useful for molecules, but...

• Kohn and Sham had

• Need “nonlocal” effects of gradient,

• Even more interesting: Hybrid functionals – Combine Hartree-Fock and DFT contributions

 – Axel Becke’s BLYP, B3LYP, BH&HLYP

• Why do it? – Handle bigger molecules! Include correlation!

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Computational Quantum Chemistry. II. Principles and Methods.

Other properties can be calculated.

• Frequencies from ∂2 E /∂r 2 (fix HF*0.891).

• Dipole moments.

• NMR shifts.

• Solution behavior.

• Ideal-gas thermochemistry.

• Transition-state-theory rate constants.

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Computational Quantum Chemistry. II. Principles and Methods.

With these tools, we can move fromoverall formulas... to sketches...

(C33 N3H43)

FeCl2,

a liganded di

(methyl imide

xylenyl) aniline ...

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Computational Quantum Chemistry. II. Principles and Methods.

To quantitative 3-D functionality.

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Close: References for further study.

• J.B. Foresman and Æ. Frisch, Exploring Chemistry with

Electronic Structure Methods, 2nd Ed., Gaussian Inc., 1996.

• W. J. Hehre, L. Radom, P. v. R. Schleyer, and J. A. Pople, Ab

Initio Molecular Orbital Theory (Wiley, New York, 1986).

• T. H. Dunning, J. Chem. Phys. 90, 1007-1023 (1989).

• H. Borkent, "Computational Chemistry and Org. Synthesis," http://www.caos.kun.nl/%7Eborkent/compcourse/comp.html

• J. P. Simons, “Theoretical Chemistry,” http://simons.hec.utah.

edu/TheoryPage/• D.A. McQuarrie, Statistical Mechanics, Harper & Row, 1976.

• S.W. Benson, Thermochemical Kinetics, 2nd Ed, Wiley, 1976.