Upload
matthew-powell
View
87
Download
0
Embed Size (px)
Citation preview
OXYGEN DISSOCIATION ACROSS A BORON-DOPED CARBON NANOTUBE:
FUEL CELL CATALYSIS
By
Matthew Creed Powell
This paper is submitted in partial fulfillment of the requirements of the Honors Program with the Department of Chemistry and Biochemistry.
Examining Committee Approved By:
__________________________ _____________________________
Dr. Hee-Seung Lee Dr. Hee-Seung Lee
__________________________ Faculty Supervisor
Dr. Gabriel Lugo
__________________________
Dr. Michael Messina
_____________________________
Department Chair
_____________________________
Honors Council Representative
_____________________________
Director of Honors Scholars Program
University of North Carolina Wilmington
Wilmington, North Carolina
May 2012
1
Acknowledgements
First and foremost, I would like to thank Dr. Hee-Seung Lee for presenting me
with this distinctive opportunity. Without his guidance and patience this would not have
been possible. Also I would like to thank my committee members, Dr. Gabriel Lugo and
Dr. Michael Messina, for their support. I owe gratitude to my honors liaison, Dr. Antje
Almeida, for coordinating and organizing this program. Finally, I would like to thank my
family and friends for their unrelenting moral support. Without any of these people, this
pressing research would not have been possible.
2
Table of Contents
Abstract……………………………………………………………………………………
3
I. Introduction……………………………………………………………………
4
II. Computational Method……………………………………………………….
12
A. Electronic Structure Calculation…………………………………………
12
B. Nudged Elastic Band Method…………………………………………….
13
C. Computational Details…………………………………………………….
15
III. Results and Discussion………………………………………………………...
16
3
A. Convergence Test………………………………………………………….
16
B. Band Structure And Density of State Calculation………………………
18
C. Oxygen Adsorption………………………………………………………..
21
D. Nudged Elastic Band Calculation………………………………………...
25
E. Atom Projected Density of State…………………………………………
36
IV. Conclusion……………………………………………………………………..
36
References……………………………………………………………………………..
38
4
ABSTRACT
In recent years, we have witnessed the catalytic effect of doped, single walled
carbon nanotubes (SWCNTs) on the reduction of oxygen in regards to the proton
exchange membrane fuel cells (PEMFC). This is achieved by providing a surface on
which diatomic oxygen can bind and subsequently dissociate. In this thesis, we explore
the catalytic ability of a boron-doped (5, 5) SWCNT (B3SWCNT)computationally. To
understand the cooperative effect of boron, one of the CNT hexagons (C6) is replaced by
C3B3 and an oxygen molecule is placed nearby. In achieving optimized product and
reactantstructures, a series of density functional theory (DFT) calculations were
performed. With geometrically optimized structures, four different product structures are
considered and possible minimum energy reaction paths are estimated via the nudged
elastic band (NEB) method. Of the reaction paths obtained, an average activation barrier
of 1.01 eV was calculated. The most favorable reaction path has the activation barrier of
.505 eV. This activation barrier is not only much lower than that of a pristine (5, 5)
SWCNT, but it is also lower than the previous result with one boron atom. This may
imply that higher boron density facilitates oxygen dissociation. Lowdin population
analysis shows that the oxygen molecule appears to be in a reduced state, resembling an
5
O2- configuration while in the reactant(chemisorbed) state. Molecular oxygen acquires
this electron density from the boron atoms in the (5, 5) B3SWCNT. This finding is
consistent with the notion that reduced form of oxygen is much more reactive than
molecular oxygen.
I. Introduction
The proton exchange membrane fuel cell (PEMFC) is an understudied energy
source that holds the potential to augment the planet’s energy and environmental crises.
If the subject of the PEMFC is pursued, large scale implementation could radically
reduce environmental and health hazards, along with greatly reducing earth’s dependence
on conventional energy systems. Advanced application could potentially revolutionize a
wide range of energy systems, ranging anywhere from personal electronics to
automobiles. Unfortunately, current application of the PEMFC lacks efficacy due to an
array of component inadequacies. This, with possible economic factors, has led to
diminished research and application of the PEMFC since its dawning in the 1960’s.
In the most basic form, the PEMFC works by oxidizing hydrogen and reducing
oxygen to produce water. The operational mechanism of PEMFC is described
schematically in Fig. 1. Hydrogen oxidation [Eq. (1)] takes place on an anode and oxygen
is reduced on the cathode [Eq. (2)]. These two equations represent general fuel cell redox
reactions. Protons are transferred via membrane from anode to cathode, producing H2O,
and resulting in a 2 to 4 electron transfer depending on intermediates and oxidizing
6
species.1 The most widely used membrane for a PEMFC is Nafion (Dupont). Nafion is
desirable mostly because of its high proton conductivity.2
H2 → 2H+ + 2e-(1)
(½)O2 + 2H+ + 2e- →H2O (2)
Figure 1.This is a schematic of a typical PEMFC. Note that a precursor to the reaction is dissociation of H2 and O2.3
Each of the redox reactions are facilitated with the aid of a metal catalyst such as
platinum (Pt). Originally designed for the Apollo Lunar Missions, platinum loaded
carbon is recognized as the predominant fuel cell redox catalyst. Figure 2 below displays
7
the implementation. Unfortunately, platinum catalyst efficiencies are rather low, ranging
from 20% to 30%.
The low efficacy is a product of many factors; one problem being platinum’s
strong affinity for carbon monoxide (CO). This is known as CO contamination. CO
contamination is a result of substantial d-π back bonding that takes place between Pt’s d-
orbital and CO’s π orbital. The permanent occupation of a Pt coordination site by CO
greatly reduces the likelihood of reactant species experiencing redox catalysis by
platinum. Consequently, the PEMFC experiences time dependent drift, which is, a steady
decrease in efficiency throughout its lifespan. Also, not all of the platinum is exposed to
the reactants because it is clumped in a disorganized manner on the carbon support.4
These factors, combined with the high cost of rare metals, render platinum loaded carbon
impractical for wide scale usage. Fuel cell redox catalysis is the focus of this research,
more specifically, the oxygen reduction reaction catalysis.
Figure 2.Platinum catalyst dispersed across a carbon support. The disorganized fashion in which the platinum catalyst is applied contributes to some of the PEMFC’s shortcomings.4
8
Recently we have seen that carbon nanotubes (CNTs) show great potential for
being a feasible catalyst support system.5-15They appear to be more mechanically and
chemically stable than a conventional carbon support system, possess high electric
conductivity, lack cracks, and have larger surface areas. Also, the activity of the CNT
allows for doping. Doping allows for other reactive elements to be covalently bonded to
the CNT surface which greatly alters the chemistry of the system. These factors make
CNTs an appealing alternative for carbon black support in PEMFCs.
The carbon nanotube is essentially an infinite hexagonal carbon network that is
rolled cylindrically. They are synthesized by various techniques; direct-current arc
discharge, laser ablation, thermal and plasma enhanced chemical vapor deposition (CVD)
and recently developed self-assembly of single crystals of SWCNTs, are among the most
popular methods.16,17
A carbon nanotube can be rolled differently to create varied chirality. The
manner in which graphene sheets are formed determines their types of activity. Figure
3displays different conformations of CNT’s and figures 3 and 4 display rolling
strategies.CNTs possess variable conducting properties (ranging from metallic to
moderate band-gap semi-conductors). This unique property comes from the manner in
which the graphene sheet is rolled. Typically, nanotubes are specified by tube diameter,
d, and chiral angle, θ. Chiral vector, Ch is the line that connects two crystallographically
equivalent positions, O and C, on a graphene sheet. Ch is determined by translation
indices n and m and their effect on basis vectors a1 and a2.
9
Ch=na1 + ma2 (3)
The zigzag CNT is characterized by having a chiral angle, θ, is measured
between the chiral vector Ch with respect to the zigzag direction (n,0), where θ=0 and
contains unit vectors a1 and a2. Armchair nanotubes have chiral angle, θ=30°, and has
translation indices (n,n). The other forms of nanotubes are defined as a pair of different
indices (n,m). Slight changes of these parameters can lead to varied chemical properties.
Thezigzag CNTs are semiconducting and the armchair CNTs are metallic.18,19The helical
CNTs have demonstrated ferromagnetic properties and display high magnetization at
room temperature.20Figure 5 shows the two main classes of carbon nanotubes: single-
walled and multi-walled carbon nanotubes (SWCNT and MWCNT).
Figure 3.The chiral vector O⃑Cor Ch=na1+ma2 is defined on the hexagonal lattice of carbon atoms (a graphene sheet) by unit vectors a1 and a2 and the chiral angle θ with respect to the zigzag axis, i.e. (n,0).19
10
Figure 4.This figure displays different ways to roll a graphene sheet to produce variable chirality.19
a) b)c) d)
Figure 5.The above figure displays different CNT conformations. From left: SWCNTs a) armchair, b) zigzag, c) helical, and d) MWCNT.21
11
Figure 6.Purified CNT’s, synthesized by chemical vapor deposition (CVD).22
Platinum-doped CNTs have been utilized successfully in lab settings to produce
higher efficiencies, but the fact that they rely on expensive metals renders them a less
feasible catalyst.6 Also, the platinum-doped CNTs are subject to CO contamination
which can become a serious setback in the lifespan of a PEMFC. With this, exploration
into the usage of nonmetal catalyst is essential. Nitrogen and boron are electronically
similar to carbon and can replace carbon in the CNT, leaving the CNT structure intact but
altering the chemistry significantly.
In the nitrogen doped system, nitrogen changes the chemical bonding
environment and is capable of increasing the binding energy of diatomic oxygen.10
Oxygen can bind to either nitrogen or carbon but quantum mechanical calculations
suggest that the carbon atoms adjacent to the nitrogen respond to the nitrogen’s
12
electronegativity with a relatively high positive charge density. With this, it is
understood that redox cycling reduces carbon which invites adsorption of diatomic
oxygen to return to a formal oxidation state.15
In this thesis, we investigate the possibility of using boron-doped (5, 5) single-
walled carbon nanotubes (B3SWCNTs) as a catalyst. More specifically, we studied the
effect of boron-doping on the oxygen reduction reaction (ORR) computationally via
density functional theory (DFT). Structure design and doping sites play a critical role in
the overall efficacy; subsequently the aim of this research is to manipulate the boron-
doped SWCNT to improve catalytic effect on the ORR and eliminating the use of
precious metal catalyst.
The mechanism for oxygen dissociation across a doped CNT can be classified by
three major steps. These steps include physisorbtion, chemisorbtion, and dissociative
adsorption. The first phase is a physisorbtion. In the physisorbed state, the oxygen-
oxygen bond is largely intact but interaction between diatomic oxygen and the nanotube
is apparent. Next is the chemisorbed state. As diatomic oxygen moves closer to the
nanotube, the oxygen-oxygen bond weakens. Finally, dissociative adsorption occurs
after overcoming the reaction barrier and molecular oxygen dissociates into single
oxygen atoms.10,11,23
To understand the detailed ORR mechanism on B3SWCNTs, we performed
nudged elastic band (NEB) calculations and the minimum energy paths toward the
possible ORR products were investigated. The barriers for the ORR on B3SWCNTs are
compared with those on pristine CNTs and the CNTs with low-level boron doping.
13
II.Computational Method
Actively pursuing a high efficiency B3SWCNT requires a fundamental
understanding of the system’s catalytic activity as the electrode reaction takes place. To
achieve this, computational and theoretical investigation is necessary. Computational and
theoretical data have been achieved for a single boron atom doped to a SWCNT but never
with a boron cluster (B3) integrated into the SWCNT.15With this, promise of increased
catalytic activity is anticipated.
A. Electronic Structure Calculations
All electronic structure calculations were done within the framework of density
functional theory (DFT). In DFT, energy is a unique functional of electron density, which
is defined as
n ( r⃑ )=∑i=1
occ
|φi( r⃑)|2 (3)
whereφ i are electron orbitals that are derived from the Kohn-Sham equation. The
abbreviation, occ, represents all occupied electron orbitals. The Kohn-Sham equation is
provided below,
(−12∇2+V KS ( r⃑ ))φ i ( r⃑ )=εi φi ( r⃑ ) (4)
where VKS(r) is the Kohn-Sham potential that produces the same electron density for
Kohn-Sham system as the real system. If electron density is known from KS equation,
total energy can be calculated. The energy functional in the Kohn-Sham (KS) DFT
scheme is given by
14
E [n(r⃑ )]=T s [n( r⃑)]+∬d r⃑ d r⃑ n ( r⃑ )n( r⃑ ')r⃑− r⃑ ' + Exc [ n ]+∫ d r⃑V ext ( r⃑ ) n(r⃑ ) (5)
where , n( r⃑) is the electron density, E [n(r⃑ )]is the total energy of the system, T s [n(r⃑ )]is
the kinetic energy of all electrons in the system, V ext ( r⃑ ) is the external potential due to
nuclei, r⃑ is the position vector of the electrons, and E xc [n ] is an exchange-correlation
functional that is designed to account for electron correlation effects and remaining
quantum effects. The ∬d r⃑ d r⃑ n ( r⃑ )n (r⃑ ')r⃑−r⃑ ' term represents electron-electron interactions
and the ∫ d r⃑ V ext ( r⃑ ) n(r⃑ ) accounts for electron-nuclei interactions. Both of these
interactions are Coulombic in nature.25,26
B. Nudged Elastic Band Calculations
Nudged Elastic Band (NEB) calculations were performed to predict minimum
energy reaction paths for ORR between products and reactants. The minimum energy
path, MEP, resides on a potential energy surface (PES). Figure 7 is an image of a PES.
The reactants and products are located in local minimums and are separated by an energy
barrier of some degree. To begin NEB calculations, product and reactant structures are
required and they were obtained from standard geometry optimization calculations. Once
the reactant and product structures are determined, intermediate structures (called
images) are estimated based on the structures of reactants and products. The structure of
each image is then optimized so that it falls on the MEP as is depicted in Figure 7.
15
Figure 7.Initial and product locations rest in local minimums on the potential energy surface (PES). NEB images are geometrically optimized by the perpendicular force, and pushed up to the MEP.24
The following force is important to the geometry optimization in NEB.
�∇V ( x ( s) )=τ (s) ⟨τ (s)|∇V ( x (s ) ) ⟩+τ (s)⊥ ⟨ τ (s)⊥|∇V ( x (s ) )⟩ (6)
Force is given by the gradient of the potential, ∇V . The reaction coordinates, s, are
designated in such a way thats=0 representsthe reactant and s=1represents the product.
The actual coordinates are defined by x (s ) for a given s value and τ (s) indicates the
direction of the minimum energy path (MEP). The force parallel to the MEP constitutes
the τ (s) ⟨ τ (s)|∇V ( x (s ) ) ⟩ portion of the equation and the perpendicular force is given by
τ (s)⊥ ⟨ τ (s)⊥|∇V ( x ( s ) ) ⟩. To ensure that each image falls on the true MEP (not global
minimum such as reactants or products locale) geometry optimization of each image is
16
carried out in the direction perpendicular to the MEP. With this, calculating only the
perpendicular force is required. When the perpendicular component of the force equation
equals 0, convergence has been reached.
�∇V ( x ( s ) )−τ (s ) ⟨ τ (s )|∇V ( x ( s )) ⟩=0 (7)
To prevent images from clumping on the MEP it is necessary to apply an artificial
spring force between subsequent images. The following equation demonstrates this
fundamental process.
F̂ i=−∇V ( x (s ) )+τ ( s ) ⟨ τ (s )|∇V ( x (s ) ) ⟩+τ ( s) ⟨ F̂is|τ (s ) ⟩ (8)
In this instance, F̂ i is the force on image i. Recognizably, the term
−∇V ( x (s ) )+τ ( s ) ⟨τ (s )|∇V ( x (s ) ) ⟩ is the perpendicular force contribution and τ ( s ) ⟨ F̂is|τ (s ) ⟩
is the spring force along the MEP.25,26
C. Computational Details
All calculations were performed with the QuantumEspresso package27. We chose
Perdew-Wang91exchange-correlation (XC) functional and Vanderbilt ultra-soft
pseudopotential.28,29This combination of XC functional and pseudopotential has been
used in many studies of metal doped CNT systems. The energy cut-off and cell size were
optimized to ensure the convergence (see Sec. III.A). We used periodic boundary
condition with an orthorhombic super-cell accommodating 6 unit cells of (5, 5) SWCNT
(total 120 carbon atoms), where three carbon atoms are replaced by boron atoms. The
convergence threshold for geometry optimizations (including NEB) was 4.0x10-
4hartree/bohr.
17
III. Results and Discussion
A. Convergence Test
All of the calculations were performed on a six unit cell (5,5)-SWCNT. A
pristine (5-5)-SWCNT unit cell has 20 carbon atoms. The CNT system under
investigation has 120 atoms, three of which are boron atoms spaced one carbon away
from each other, forming a boron cluster. Figure 8 shows the optimized structure of boron
doped CNT studied in this work (B3SWCNT) with an optimized energy of -1352.111 Ry
(Rydbergs). Periodic boundary conditions were applied to simulate an infinitely long
system despite using a limited cell size in the present study.
Figure 8.Geometrically optimized, (5, 5) BSWCNT with integrated boron cluster (E=-1352.111 Ry) .The blue areas are boron atoms and the green portion represents carbon atoms.
18
To begin, it was necessary to determine optimal calculation parameters through a
series of convergence tests. The total energy dependence on the energy cutoff was
necessary to determine the number of basis functions required to expand each orbital.
The following equation defines this process.
φ i=∑i=1
❑
C iΨ i(r⃑ ) (9)
The term φ i, are electrons orbitals as seen in Equation 1. Expansion coefficients
are given by C i , and Ψ i are basis functions. An energy cutoff of 25 Ry was determined
by this method as is shown in Figure 9. This value stands as a compromise between
accuracy and computational cost.
Figure 9.Total energy dependence with respect to energy cut-off (Ry)
19
An orthorhombic supercell large enough to avoid any serious interaction with the
periodic image was necessary. The dimensions a=b=20 Å were used and the c axis was
determined by a convergence test. To determine optimum cell size along the c-axis, a
convergence test was achieved by varying cell size and performing geometric
optimization calculations on each variation. Figure 10 shows the total energy as a
function of cell size along the c-axis. From the graph, it was possible to deduce the
optimal cell size of 14.887 Å with the total system energy of -1352.111 Ry.
Figure 10.Total energy variation with respect to the cell-size (length of c-axis).
B. Band Structure and Density Of State Calculations
Armchair CNTs exhibit metallic properties which may play a role in their
catalytic activity in regards to possessing the ability to pass electrons. With this, it is
20
necessary to use (5, 5)-CNTs to retain electrical conductivity after boron-doping. Band
structure calculations were performed to investigate and compare the electronic
properties of boron-doped systems. Figure 11 shows the band structure of a pristine (5,
5)-SWCNT and a singly doped SWCNT 15, whereas Figure 12 shows the band structure
of the B3SWCNT studied in the present thesis. The Fermi level is set to 0 in band
structure plots. For the pristine CNT, there is the characteristic band crossing at the Fermi
level, representing π(occupied) and π¿(unoccupied) bands from the non-bonded
p-orbitals of carbon. The lack of a band gap is evidence of the metallic character of
pristine (5, 5)-CNT.
As shown in Figure 11, the boron doping with a single boron atom appears to
have minor effect to the overall metallic nature. When one boron atom is doped to the
SWCNT, the characteristic π-π* band crossing is still largely intact, only to be pushed up
a little due to the introduction of new boron-related bands below Fermi level. On the
other hand, the addition of the boron cluster appears to have more serious impact on the
electronic properties of CNT. This data is shown in Figure 12 along with a density of
state plot (DOS).The system is still metallic since there is no band gap at the Fermi level.
Therefore, despite the band structure shift at the Fermi level, B3SWCNT can still conduct
electricity. However, the π-π* band crossing is largely missing in the band structure of
boron cluster doped CNT. This is probably due to the broken mirror symmetry in the
system. The DOS plot is used to represent the low population of electrons around the
Fermi level.
21
Figure11.Band structure calculation of pristine (5, 5) SWCNT (left) and boron-doped (5,5) SWCNT. Note the band crossing at the Fermi level. These figures exhibit metallic systems.15
Figure 12.Band structure (left) and DOS (right) plots. The presence of band crossing at the Fermi level shows that the addition of 3 boron atoms does not alter the metallic nature of the (5,5) SWCNT.
22
C. Oxygen Adsorption
Necessary to the finding the minimum energy paths were optimized structures of
products and reactants. Extensive search for the possible chemisorbed, physisorbed, and
dissociative adsorption structures was performed for the ORR on the (5, 5)-B3SWCNT.
The geometry optimizations of each structure lead to their lowest energy configuration.
Some of the optimized images are displayed below.
The physisorbed configuration can be described as a weak Van Der Waals
attraction that takes place between the B3SWCNT and the molecular oxygen adsorbate.
In this stage the covalent bond between molecular oxygen is virtually undisturbed.
Evidence of this is in Figure 13. In structure a, the oxygen-oxygen (O-O) bond length is
1.237 Å, which suggests that this bond is unaltered. This compares closely to a literature
value of 1.21 Å for diatomic oxygen.30As expected from the physisorbed nature of O2 -
B3SWCNT interaction, the oxygen-boron (O-B) distance for the structure a is very large
(3.393Å).
a. E = -1416.0551 Ry b.E = -1416.0551Ry c. E = -1416.0355Ry
Figure13. This figure lists some possible physisorbed states for an oxygen across a (5, 5) B3SWCNT. The green atoms represent carbon, blue atoms are boron, and the red atoms are oxygen. Their ground state energies are included.
23
In the chemisorbed configuration, the oxygen-boron bond distance has decreased
to the point of exhibiting covalent behavior. Also, the O-O bond distance is increased
which indicates the beginning of the dissociation of molecular oxygen. Figure 14 depicts
three of the many chemisorbed images generated for this study. The O-O bond length is
1.462 Å for the structure d and 1.317 Å for structure f. This proves that the O-O bond
has weakened and is beginning to dissociate. Note that structure d has both oxygen atoms
bonded to boron, whereas only one oxygen atom is bonded to boron in structure f. The
boron-oxygen bond distance has also decreased dramatically from the physisorbed state,
to the point of exhibiting covalent behavior. They have decreased from ~3-3.5Å to ~1.5-
1.7 Å. To estimate the strength of O2 – B3SWNCT interaction, the binding energy of O2
was calculated using the equation below.
Eb=E (O2−B3 SWCNT )−E (O2 )−E (B3 SWCNT ) (13)
In this equation, Eb represents the binding energy of O2 and E(O2-B3SWCNT) is
the total energy of the optimized B3SWCNT with O2 adsorbed to the surface. E(O2) and
E(B3SWCNT) are the energies of diatomic oxygen and B3SWCNT, respectively. The
binding energy for a chemisorbed state, using structure f as the final optimized
B3SWCNT-O2, was determined to be 0.18 eV, which is rather small. However, this is
significantly larger than the binding energy of oxygen toward the SWCNT with single
boron doping.15The partial (or projected) density of state (PDOS) calculated reveals that
the spin state of chemisorbed oxygen in structure f is still triplet. It is well known that
molecular oxygen (3O2) does not bind to pristine SWCNT at all and the interaction of
triplet oxygen is physisorption at best. Therefore, it is important to observe that boron
24
doping promotes oxygen binding, which is the necessary first step toward the oxygen
dissociation.
d. E = -1416.0815 Ry e. E = -1416.0616 Ry f. E = -1416.0645Ry
Figure 14.Possible chemisorbed states for the (5, 5) B3SWCNT.
The binding energy of chemisorbed oxygen in structure d is even higher, 0.41 eV,
with both oxygen atoms bonded to boron. It is interesting to note that the spin state of
oxygen is no longer triplet, but it is singlet. It is well documented that triplet-singlet
transition is highly desirable for molecular oxygen to dissociate. Therefore, it is expected
that structure d is one of the possible intermediate structures toward complete
dissociation of oxygen.
Figure 15 and 16 show some potential dissociative adsorption states. The O-O
bond is completely broken and the two oxygen atoms are each bound to a carbon and
adjacent boron. These products were designed intentionally by placing individual oxygen
atoms on the nanotube before any geometric optimization calculation took place.
Geometry optimizations ensued and of the products, Figure 16 displays the most stable
with a total energy of -1416.4057 Ry. For this product, the O-O bond distance is 2.724
Å, the O-B distance is 1.434 Å, and the O-C (oxygen-carbon) bond distance is 1.383Å.
25
These O-O bond distances ensure the oxygen bond is broken. Also, the O-B and O-C
bond express the covalent bonding of oxygen to the B3SWCNT surface. In all of the
products, oxygen adsorption breaks a carbon-boron (C-B) bond and inflicts variable
forms of distortion on the entire system.
g. E = -1416.2510 Ry h. E = -1416.2492 Ry i. E = -1416.3250 Ry
Figure 15.Eligible dissociative adsorption states for the (5, 5) B3SWCNT-O2 (products).
j. E = -1416.4057 Ry
Figure 16.Most favorable product (most stable, lowest energy, dissociative conformation) for the (5, 5) B3SWCNT-O2.
26
D. Nudged Elastic Band Method.
The mechanism of the oxygen reduction was thoroughly studied using Nudged
Elastic Band Method (NEB). It is accepted that oxygen reduction on a platinum catalyst
fuel-cell electrode occurs via two parallel reaction pathways.1 Equation 14 displays the
more efficient and more prevalent, four electron transfer.
4 e−¿+4 H+¿+O2→2 H 2O ¿ ¿ (14)
The less frequent and less efficient pathway is the two electron transfer [Eq. 15]. As you
can see in Figure 15 below, hydrogen peroxide is a byproduct instead of water.
2 e−¿+2H +¿+O2 →H 2O2 ¿¿ (15)
Faradaic efficiency gauges the efficiency of electron transfer in an
electrochemical system. The four electron transfer is preferred over the two electron
pathway due to having a higher Faradaic efficiency and a more favorable byproduct
(water).1 The above reactions [Eqs. 14-15] represent the entire fuel-cell redox reaction but
the reaction mechanism actually occurs by a series of elementary steps. One of these
steps, critical to the present study, is the dissociation of surface bound molecular oxygen
across the (5, 5) B3SWCNT [Eq. 16].
O2→ O+O (16)
Detailed understanding of the mechanism was pursued using NEB calculations.
NEB calculations are used to determine the minimum energy path (MEP) between
product and reactant. With this data, it is possible to determine details including
activation energy (Ea), transition state, and stable intermediate structures and their relative
energies. Each NEB calculation involved 12 images. Images 1 and 12 were
geometrically optimized reactant and product, respectively, and the calculation generated
27
10 intermediate structures. The amount of intermediate images used for this research was
determined as a compromise between the desire for maximal mechanistic information
and minimal computational cost. In addition to typical NEB, we utilized the climbing
image (CI-NEB) setting to improve the activation energy accuracy. This is accomplished
by pushing likely transition states to the top of the energy barrier by applying a spring
force to each image.
To begin, a selection of reactant-product pairs had to be made out of the
previously geometrically optimized structures discussed in Sec III.C. The favored
combinations of product and reactant structures were chosen based on stability and the
necessity of the product being lower in energy than the reactant. Also, to balance the
desire for as much mechanistic information as possible with computational cost, the
reactant was chosen by being chemisorbed with one oxygen to the (5, 5) B3SWCNT.
This reactant image is preferred because it is more general and could potentially lead to a
wide array of products. For these reasons, structure f, in Figure 14 is the reactant of
choice for each of the four products considered in this work.
The dissociative adsorptions states in figures 15 and 16 (g, h, i, and j) were
selected to be the products based on their stability. Figure 17 is a general outline of the
four NEB product/reactant pairs included in this work. Path I, II, III, and IV correspond
to g, h, i, and j from figures 15 and 16, respectively. Figure 18 shows the schematic
representation of the core of structure f with key atoms labeled. This will help to put
MEP explanations into perspective.
28
Figure 17.This figure displays the reaction paths analyzed by NEB calculation along with the overall change in energy (ΔE). The reactant corresponds to structure f in Figure 12, and each of the products is shown as structures g, h, i, and j in figures 14 and 15.
Figure 18.A schematic of the boron cluster and oxygen molecule in the structure f
29
The first path under investigation was Path I. To begin, diatomic oxygen rotates
counterclockwise until the Oj-Oi bond is parallel to the B1-C1 bond. The Oj-Oi bond
breaks and Oj bonds to C1. Subsequently, Oi bonds to C3 and Oj bonds to B2. First the B2-
C1 bond breaks, then the B1-C3 bond breaks. Figure 19 displays the NEB results with Ea=
2.1 eV and a transition state (TS) at image 7 that had an energy of -1415.910 Ry. When
reviewing the transition state it apparent that the O-O bond is broken with an atomic
distance of 1.84 Å. After the transition state, the reaction declines steadily to completion
without any stable intermediate structure.
30
(a)Ea= 2.1 eV
(b)
Figure 19.(a) Energy profile for the MEP for Path I. The activation energy for Path I is Ea = 2.1 eV, (b) Transition state structure for Path I (image seven on the MEP). Oxygen bond is broken expressing an O-O bond distance of 1.84 Å.
31
Path II was the only paththat rendered evidence of a stable intermediate state
after the first of two transition states. In Path II, the Oj-Oi bond rotates slightly
counterclockwise, orienting Oj closer to B3. The Oj-Oi bond elongates and breaks. Oj
bonds to B3, this temporary bond facilitates Oj’s jump to C2. Meanwhile, Oi bonds with
C3 and the C3-B1 bond breaks. Finally, Oj bonds also with B2 and the C2-B2 bond breaks.
The first TS had an energy of -1416.008 Ry and is shown in Figure 20, (b)(image 4 on
the MEP). Figure 20, (c) and (d), are the stable intermediate and the second TS,
respectively. The O-O bond length of first TS structure is 1.41 Å which shows that it is
largely intact but experiencing a bond lengthening. The stable intermediate, Fig. 20(c)
(image 8), has and energy of -1416.097 Ry and the O-O bond length is2.79 Å (broken).
Also The second TS (image 9), Fig. 20(d), has an energy of -1416.100 Ry, and
requires .086 eV from the stable intermediate to complete the reaction. Figure 20(a)
displays this overall MEP with an Ea = 0.88 eV.
32
(a) Ea= 0.88 eV
(b)(c) (d)
Figure 20.(a) Energy profile for the MEP for Path II. The structures of first transition state (a), a stable intermediate (b), and the second transition state (c), are also shown.
33
(a)Ea= 0.62 eV
(b)
Figure 21.(a) Energy profile for Path III with the activation barrier of 0.62 eV(b)The image of the transition state.
34
Figure 21 displays the results from Path III. To start, Oj-Oi leans toward B3 and
the Oj-Oi bond breaks. Oj moves to bond to C2, in turn breaking the C2-B3 bond.
Simultaneously, Oi bonds with C3 and subsequently breaks the C3-B1 bond. The MEP is
shown in Fig. 21(a) with a transition state at image 6 (Fig. 20(b)). The transition state has
energy of -1416.018 Ry and the oxygen molecule has dissociated. The O-O bond length
is 1.98 Å, which solidifies the claim to oxygen dissociation. Each of the oxygen atoms
have bonded to an adjacent boron atom at the TS. The B-O bond lengths are 1.46 Å and
1.44 Å for B1-O1 and B2-O2 respectively. The activation energy was Ea= 0.62 eV.
The final path chosen for NEB calculations was Path IV. This reaction begins
with diatomic oxygen uniformly shifting down toward the center of the ring that contains
the boron cluster. Next, Oj bonds with B3. At this point the diatomic oxygen bond
breaks. Oi bonds with C1 and the C1-B1 bond. Then, Oj bonds to C2, similar to Oi, and
breaks the C2-B3 bond. Path IV is favored for having the most stable product
conformation. After NEB calculations ensued it was found that Path IV had the lowest
activation energy of the four paths, with a value of Ea = 0.50eV. Similar to the other
reaction pathways (except Path II), Path IV, had one transition state, at the sixth image
into the calculation. Figure 22 displays the MEP and the transition state structure. The
transition state has an overall energy of -1416.027 Ry. In the transition state, the O-O
bond distance is 1.77 Å, which shows that the O-O bond has been broken, and that they
have bonded to adjacent boron atoms (B-Oi=1.45 Å, B-Oj=1.49 Å), similar to Path III.
After a subtle rise in energy to the transition state, the reaction follows a relatively abrupt
decline in energy to the product formation.
35
(a) Ea= 0.50eV
(b)
Figure 22.(a) The energy profile of the MEP for Path IV, most favorable reaction path with lowest activation energy (0.50 eV) and one transition state. (b) Structure of TS.
36
Table 1.A summary of the results to the NEB calculation.
Path Activation Energy (eV)Number of Stable Intermediates Number of TS
I 2.10 0 1II 0.88 1 2III 0.62 0 1IV 0.50 0 1
Table 1 summarizes the results of the NEB calculations. Path I had the highest
activation energy of 2.1 eV and Path IV with the lowest with Ea = .50 eV. Each of the
paths, excluding Path II, displayed a steady rise to the transition state (TS) and
subsequently, a steady decline to the product.
When taking activation energy and total system energy into consideration Path
IV appears optimal out of the four. There is one transition state and no stable
intermediates which suggest the pathway’s simplicity. The present results with boron
cluster doped CNT (B3SWCNT) shows substantial improvement over the previous results
with only one boron (B1SWCNT).15 The lowest activation barrier for oxygen dissociation
on B1SWCNT was found to be 0.81 eV.15 Other reaction paths considered previously for
B1SWCNT had activation barrier over 1.2 eV. The lower activation energies we observed
with B3SWCNT in the present study is most likely due to the fact that B-C bond is
weaker than C-C bond. In Path IV, both oxygen atoms are attached to B-C bonds and the
B-C bonds are partially broken, leading to significant distortion of overall CNT structure.
On the other hand, with B1SWCNT, at least one of the two oxygen atoms is always
attached to C-C bond. The reaction paths with B1SWCNT are also more complicated than
37
those studied in this work with B3SWCNT, typically having more than one transition
state.
E. Atom Projected Density of State
Atom projected density of state (PDOS) calculations lead to interesting
differences in the electronic structure of molecular oxygen adsorbed to the pristine (5, 5)
SWCNT and the (5, 5)-B3SWCNT. An isolated ground state oxygen molecule is in the
triplet electronic state.15However, triplet-state oxygen does not bind to a pristine
SWCNT. To achieve molecular oxygen adsorption to a pristine (5, 5) SWCNT the
molecule must undergo a triplet-singlet electronic transition. However, the molecular
oxygen adsorbed on boron has doublet character, with the total magnetization of 1μB. In
addition, oxygen becomes electron rich, with the total number of valence electrons equal
to 12.3. This indicates that the electronic structure of adsorbed O2 moves toward that of
O2-, which is known to be highly reactive. On the other hand, the average number of
valence electrons of boron is 2.84, which shows that electrons are transferred from boron
to oxygen. Although, the boron directly attached to oxygen is slightly more negative, the
difference is negligible. This implies that the effect of boron is cooperative. This is also
seen from the fact that the activation barrier is reduced from 0.8 eV to 0.5 eV when more
boron atoms are found around the adsorbed oxygen molecule.
IV. Conclusion
Oxygen dissociation on boron doped carbon nanotube (B3SWCNT) is studied
with the density functional theory (DFT) and nudged elastic band (NEB) calculations.
From a series of NEB calculations, the most likely reaction path is determined to be path
38
IV, where two oxygen atoms are adsorbed on two crystallographically identical boron
atoms, followed by the insertion of each oxygen atom into B-C bond. The activation
barrier for this path is 0.5 eV, which is a substantially smaller than the previous results
with (5, 5)-SWCNT doped with only a single boron atom. Atom projected density of state
(PDOS) calculation shows that oxygen molecule is negatively charged, whereas boron
atoms are positively charge, implying electron transfer from boron to oxygen. In fact, the
adsorbed molecular oxygen has 2O2- character, which is highly reactive. However, all
three boron atoms are equally charged, indicating cooperative effect of boron. This
should have contributed to the lower activation barrier found in the present B3SWSCNT
system.
The activation barrier of 0.5 eV (~11 kcal/mol) is still relatively large, but our
calculations are done for gas phase systems. It is expected that the presence of solvent
reduces the activation barrier significantly. Therefore, as a future work, it would be
interesting to see the role of solvent in oxygen dissociation on the surface of doped
carbon nanotube.
39
References
[1] Stephen, W., Dhanda, A., Aryanpour, M., and Pitsch, H., “Mechanism ofMolecular Oxygen Reduction at Cathode of PEM Fuel Cell: Non-Electrochemical Reactions on Catalytic Pt Particles”, J. Phys. Chem. C, 112,8464 (2008)
[2] Carrette, L., Kaspar A., and Stimming, U., "Fuel Cells: Principles, Types, Fuels,and Applications", CHEMPHYSCHEM, 1, 163 (2000)
[3] Harkness, Mark. "Individual Fuel Cell."Fuel Cells. Mind Touch Enterprise, 2009. Web. 10 Apr. 2012. <http://climatelab.org/Fuel_Cells>.
[4] Lizcano-Valbuena, W. H., J. Perez, V. A. Paganin, and E. R. Gonzalez. "Evaluation of gas diffusion electrodes as detectors in amperometric hydrogen sensors."EcléticaQuímica 30.2 (2005): 77-84. Web. 10 Apr. 2012.
[5] Kannan, R., U.Bipinlal, .S Kurungot, and V.K.Pillai. "Enhanced electrocatalytic performance of functionalized carbon nanotube electrodes for oxygen reduction in proton exchange membrane fuel cells." PHYSICAL CHEMISTRY CHEMICAL PHYSICS 13.21 (2011): 10312-17. Web of Knowledge. Web. 10 Apr. 2012.
[6] Lee, Dr. Hee-Seung, and Kayla E. Hayes. "First principles studies of the electronic properties and catalytic activity of single-walled carbon nanotube doped with Pt clusters chains." CHEMICAL PHYSICS 393.117 Jan. (2012): 96-106. Web of Knowledge. Web. 10 Apr. 2012.
[7] Xiong, W., Y. Liu, A. Perez, M.Supp, and R.Terizhandur. "3-D Carbon Nanotube Structures Used as High Performance Catalyst for Oxygen Reduction Reaction." JOURNAL OF THE AMERICAN CHEMICAL SOCIETY 132.4515 Oct. (2010): 15839-41. Web of Knowledge. Web. 10 Apr. 2012.
[8] Li, H., H. Liu, Z. Jong, W. Qu, and D. Geng. "Nitrogen-doped carbon nanotubes with high activity for oxygen reduction in alkaline media." International Journal of Hydrogen Energy 36.3 Feb. (2011): 2258-65. Web of Knowledge. Web. 10 Apr. 2012.
[9] Rao, CV., and Y. Ishikawa. "Activity, Selectivity, and Anion-Exchange Membrane Fuel Cell Performance of Virtually Metal-Free Nitrogen-Doped Carbon Nanotube Electrodes for Oxygen Reduction Reaction."JOURNAL OF PHYSICAL CHEMISTRY 116.616 Feb. (2012): 4340-46. Web of Knowledge.Web. 10 Apr. 2012.
[10] Shan, Bin, and Kyeongjae Cho. "Oxygen dissociation on nitrogen-doped single wall nanotube: A first-principles study." Chemical Physics Letters 49219 Apr. (2010):131-36. Web. 18 Apr. 2012.
40
[11] Gong, K., Du F., Xia Z., Durstock, M. and Dai, L., "Nitrogen-Doped CarbonNanotube Arrays with High Electrostatic Activity for Oxygen Reduction",Science, 323, 760 (2009)
[12] Yang, L., S. Jiang, Y. Zhao, L. Zhu, S. Chen, X. Wang, Q. Wu, J. Ma, Y. Ma, and Z. Hu,. (2011), Boron-Doped Carbon Nanotubes as Metal-Free Electrocatalysts for the Oxygen Reduction Reaction. Angew. Chem. Int. Ed., 50: 7132–7135. doi: 10.1002/anie.201101287
[13] Sheng, Z., H.Gao, W.Bao, F. Wang, and X. Xia. "Synthesis of boron doped graphene for oxygen reduction reaction in fuel cells." JOURNAL OF MATERIALS CHEMISTRY 22.22 Nov. (2011): 390-95. Web of Knowledge.Web. 10 Apr. 2012.
[14] Koretsune, Takashi, and Susumu Saito. "Electronic structure of boron-doped carbon nanotubes." PHYSICAL REVIEW 77.1615 Apr. (2008): 1-5. Web. 18 Apr. 2012.
[15] Morris, William. “Oxygen Dissociation on a Boron-doped Carbon Nanotube”. MS Thesis, University of North Carolina Wilmington (2011).
[16] Shaffer, M., Sandler, J., “Carbon Nanotube/Nanofibre Polymer Composites”. PROCESSING AND PROPERTIES OF NANOCOMPOSITES.1, 1-59, (2006)
[17] Purtetkt, A.A, D.B. Geohegan, X. Fan, and S.J. Pennycook. "Dynamics of single-wall carbon nanotube synthesis by laser." Applied Physics A: Materials Science & Processing 70.121 Jan. (2000): 153-60. Web of Knowledge. Web. 10 Apr. 2012. DOI 10.1007/s003390000257
[18] Lau, K.T., and David Hui. "The revolutionary creation of new advanced materials—carbonnanotube composites." Composites Part B: Engineering 33.4 June (2002): 263-77. Web of Knowledge. Web. 10 Apr. 2012.
[19] Mauricio T., "Science and Technology of the Twenty-First Century: Synthesis,Properties, and Applications of Carbon Nanotubes", Annual Review 33, 419(2003)
[20] Tang, N., J.F. Wen, Y. Zhang, F.X. Liu, and K.J. Lin. "Helical Carbon Nanotubes: Catalytic Particle Size-Dependent Growth and Magnetic Properties." ACS NANO 4.1 Jan. (2010): 241-50. Web. 10 Apr. 2012.
[21] Lee, K., J. Zhang, H. Wang, and D. P. Wilkinson. "Progress in the synthesis of carbon nanotube- and nanofiber-supported Pt."JOURNAL OF APPLIED
41
ELECTROCHEMISTRY 36.5 (2009): 507-22. Web of Knowledge.Web. 6 Jan. 2006.
[22] Liu, Z., X. Lin, J. Y. Lee, W. Zhang, and M. Han. "Preparation and Characterization of Platinum-Based Electrocatalysts on Multiwalled Carbon Nanotubes for Proton Exchange Membrane Fuel Cells."Langmuir 18.10 Apr. : 4054-60. Web of Knowledge.Web. 17 Apr. 2002.
[23] Masel, Richard I. PRINCIPLES OF ADSORPTION AND REACTION ON SOLID SURFACES. New York: John Wiley and Sons, 1996. 111-33. Print.
[24] Sheppard, Daniel, and Rye Terrell. Saddle Point Finding Methods. University of Texas, n.d. Web. 26 Apr. 2012. Texas, n.d. Web. 26 Apr. 2012. <http://theory.cm.utexas.edu/henkelman/research/saddle/>.
[25] Hohenberg, P., Kohn, W., “Inhomogeneous Electron Gas”, Phys. Rev., 136,B864 (1964)
[26] Kohn, W., Sham, L.J., “Self Consistent Equations Including Exchange andCorrelation Effects”, Phys. Rev., 140, A1133 (1965)
[27] Giannozzi, P., Baroni, S., Bonini, N., Calandra, N., Car, R., Cavazzoni, C.,Ceresoli, D., Chiarotti, G.L., Cococcioni, M., Dabo, I., Dal Corso, A., deGironcoli S., Fabris, S., Fratesi, G., Gabauer., R., Gerstmann, U., Gougoussis,C., Kokalj, A., Lazzeri, M., Martin-Samos, L., Marzari, N., Mauri, F.,Mazzarello, R., Paolini, S., Pasquarello, A., Paulatto, L., Sbraccia, C.,Scandolo, S., Sclauzero, G., Seitsonen, A.P., Smogunov, A., Umari, P.,Wentzocovtich, R.M., “ Quantum Espresso: a modular and open-sourcesoftware project for quantum simulation of materials”, J. Phys. Condens.Matter, 21, 395502 (2009)
[28] Perdew, J.P. and Wang, Y., “Accurate and simple analytic representation of theelectron-gas correlation energy”, Phys. Rev. B, 45, 13244 (1992)
[29] Vanderbilt., “Soft self-consistent pseudopotentials in generalized eigenvalueformalism”, Phys. Rev. B, 41, R7892 (1990)
[30] CRC Handbook of Chemistry and Physics, 77th ed. Lide, D.R., Ed.; CRC Press: BocaRaton, FL, 2000; Section 9, p 21.