Optimized Tersoff and Brenner empirical potential parameters for lattice dynamics and phonon
thermal transport in carbon nanotubes and graphene
L. Lindsay
Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA
and Department of Physics, Computer Science, and Engineering, Christopher Newport University, Newport News, Virginia 23606, USA
D. A. Broido
Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA
�Received 3 March 2010; revised manuscript received 10 May 2010; published 27 May 2010�
We have examined the commonly used Tersoff and Brenner empirical interatomic potentials in the context
of the phonon dispersions in graphene. We have found a parameter set for each empirical potential that
provides improved fits to some structural data and to the in-plane phonon-dispersion data for graphite. These
optimized parameter sets yield values of the acoustic-phonon velocities that are in better agreement with
measured data. They also provide lattice thermal conductivity values in single-walled carbon nanotubes and
graphene that are considerably improved compared to those obtained from the original parameter sets.
DOI: 10.1103/PhysRevB.81.205441 PACS number�s�: 63.22.Rc, 65.80.�g, 63.20.�e, 65.40.�b
I. INTRODUCTION
It is well known that carbon-based materials such as dia-
mond, graphite, graphene, and carbon nanotubes possess the
highest known thermal conductivities.1–9 This has motivated
intense theoretical effort to understand the thermal transport
properties of these systems.10–30 Such investigations com-
monly employ either molecular-dynamics simulations or
Boltzmann transport equation �BTE� approaches. In both
cases accurate representation of the interactions between at-
oms is required. Harmonic interatomic force constants
�IFCs� are required to obtain phonon frequencies and eigen-
vectors, and acoustic-phonon velocities. Real-space anhar-
monic IFCs are also needed to describe the phonon-phonon
scattering that is responsible for the intrinsic thermal resis-
tance.
Rigorous first-principles and force-constant approaches
have been employed in graphene and single-walled carbon
nanotubes �SWCNTs� to calculate the harmonic IFCs in
these systems, and highly accurate phonon dispersions have
been obtained over the entire Brillouin zone.31–33 Anhar-
monic IFCs have also been obtained recently in these sys-
tems using density-functional perturbation theory �DFPT�
and used successfully in phonon lifetime calculations.34,35
However, DFPT calculations of the real-space anharmonic
IFCs are considerably more difficult so no commonly avail-
able ab initio DFPT package, such as QUANTUM ESPRESSO,36
VASP,37 and ABINIT �Ref. 38� generates them. In contrast,
empirical interatomic potentials �EIPs� provide these anhar-
monic interactions in a conveniently extractable form and so
are frequently used in thermal transport calculations in
SWCNTs and more recently in graphene.23,24,30 The most
commonly used EIPs are those developed by Tersoff39,40 and
Brenner.41,42
The Tersoff and Brenner EIPs are short range and so can-
not accurately fit the graphene dispersion over the entire
Brillouin zone. However, the thermal conductivity depends
more sensitively on the accuracy of acoustic phonon fre-
quencies near the zone center where the longitudinal- and
transverse-acoustic �LA and TA� velocities and the quadratic
curvature of the out-of-plane acoustic �ZA� branch are deter-
mined. On the other hand, only weak thermal excitation of
the optic phonons and acoustic phonons near the Brillouin-
zone boundary occurs around room temperature because of
the large graphene Debye temperature ��2000 K�. There-
fore, accurate fitting to the corresponding phonon frequen-
cies is less important.
The original parameter sets of the Tersoff and Brenner
EIPs do not accurately reproduce the phonon dispersions of
graphene, as has been noted previously.43 In particular, they
do not accurately obtain the velocities of the three acoustic
branches near the center of the Brillouin zone, thus, also
misrepresenting these properties in SWCNTs. We present
here optimized parameter sets for the Tersoff and Brenner
EIPs, which better represent the lattice dynamical properties
of graphene. We test these optimized parameter sets on the
lattice thermal conductivities of SWCNTs and graphene, and
we find them to yield values that are in much better agree-
ment with available data. In Sec. II we briefly describe the
Tersoff and Brenner EIPs and the approach we took in opti-
mizing the empirical parameters. Section III presents the op-
timized parameter sets and compares the graphene phonon
dispersions obtained from the original and optimized param-
eter sets. It also examines the phonon thermal conductivities
of SWCNTs and graphene obtained from old and new pa-
rameter sets for both EIPs. Section IV presents a summary
and conclusions.
II. THEORY
The convenience of the Tersoff and Brenner EIPs comes
from their rather simple, analytical forms and the short range
of atomic interactions. For carbon-based systems, the Tersoff
model has nine adjustable parameters �listed in Table I� that
were originally fit to cohesive energies of various carbon
systems, the lattice constant of diamond, and the bulk modu-
lus of diamond. The Brenner EIP is based directly on the
Tersoff EIP but has additional terms and parameters which
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allow it to better describe various chemical reactions in hy-
drocarbons and include nonlocal effects �parameters listed in
Table II�.
A. Tersoff model
The analytical form for the pair potential, Vij, of the Ter-
soff model is given by the following functions with corre-
sponding parameters listed in Table I:39,40
Vij = f ijC�aijf ijR − bijf ijA� , �1a�
f ijR = Ae−�1rij , �1b�
f ijA = Be−�2rij , �1c�
where rij is the distance between atoms i and j, f ijA and f ijR are
competing attractive and repulsive pairwise terms, and f ijC is
a cutoff term which ensures only nearest-neighbor interac-
tions. The term, aij, is a range-limiting term on the repulsive
potential that is typically set equal to 1. We do so here. The
bond angle term, bij, depends on the local coordination of
atoms around atom i and the angle between atoms i, j, and k,
bij = �1 + �n�ij
n �−1/2n, �2a�
�ij = �
k�i,j
f ikCgijke�3
3�rij − rik�3, �2b�
gijk = 1 +
c2
d2
−
c2
d2 + �h − cos��ijk��2
, �2c�
where �ijk is the angle between atoms i, j, and k. This bond
angle term allows the Tersoff model to describe the strong
covalent bonding that occurs in carbon systems, which can-
not be represented by purely central potentials. This angle-
dependent term also allows for description of carbon systems
that bond in different geometries, such as tetrahedrally
bonded diamond and the 120° tribonded graphene.
B. Brenner model
The Brenner potential for solid-state carbon structures is
given by the following functions with corresponding param-
eters listed in Table II:41,42
Vij = f ijC�f ijR − b¯ijf ijA� , �3a�
f ijR = �1 + Q
rij
�Ae−�rij , �3b�
f ijA = �
n=1
3
Bne−�nrij , �3c�
where many of the terms are similar to the Tersoff model
described above and the bond angle term, b¯ij, is given by
b¯ij =
1
2
�bij
�−� + bji
�−�� + ij
RC + bij
DH
, �4a�
bij
�−�
= �1 + �
k�i,j
f ikCgijk�−1/2, �4b�
gijk = �
i=0
5
�i cos
i��ijk� . �4c�
Here, bij
�−� depends on the local coordination of atoms
around atom i and the angle between atoms i, j, and k, �ijk.
This pi-bond function is symmetric for graphene, graphite,
and diamond, bij
�−�
=bji
�−�
. The coefficients, �i, in the bond-
bending spline function, gijk, were fit to experimental data
for graphite and diamond and are also listed in Table II. The
term, ij
RC
, accounts for various radical energetics, such as
vacancies, which are not considered here; thus, this term is
taken to be zero. The term, bij
DH
, is a dihedral bending func-
tion that depends on the local conjugation and is zero for
diamond but important for describing graphene and
SWCNTs. This dihedral function involves third-nearest-
neighbor atoms and is given by41,42,44
bij
DH
=
T0
2 �k,l�i,j f ik
C f jlC�1 − cos2�
ijkl�� , �5�
where T0 is a parameter, f ijC is the cutoff function, and
ijkl is
the dihedral angle of four atoms identified by the indices, i, j,
k, and l, and is given by
TABLE I. Original parameters for the Tersoff EIP for carbon-
based systems given in Ref. 40.
A=1393.6 eV B=346.74 eV
�1=3.4879 Å−1 �2=2.2119 Å−1
�3=0.0000 Å−1 n=0.72751
c=38049.0 �=1.5724�10−7
d=4.3484 h=−0.57058
R=1.95 Å D=0.15 Å
TABLE II. Original parameters for the Brenner EIP for solid-
state carbon-based structures given in Ref. 42. Also listed are the
coefficients for the fifth-order polynomial spline, gijk, described in
Ref. 42.
A=10953.544162170 eV B1=12388.79197798 eV
B2=17.56740646509 eV B3=30.71493208065 eV
�=4.7465390606595 Å−1 �1=4.7204523127 Å−1
�2=1.4332132499 Å−1 �3=1.3826912506 Å−1
Q=0.3134602960833 Å R=2.0 Å
D=1.7 Å T0=−0.00809675
�0=0.7073 �1=5.6774
�2=24.0970 �3=57.5918
�4=71.8829 �5=36.2789
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205441-2
cos�
ijkl� = �� jik · �� ijl, �6a�
�� jik =
r� ji � r�ik
r� ji r�ik sin��ijk�
, �6b�
where �� jik and �� ijl are unit vectors normal to the triangles
formed by the atoms given by the subscripts, r�ij is the vector
from atom i to atom j, and �ijk is the angle between atoms i,
j, and k. In flat graphene, the dihedral angle,
ijkl, is either 0
or � and the dihedral term is subsequently zero.44 Bending of
the graphene layer leads to a contribution from this term.
Some of the main differences when compared to the Ter-
soff EIP are: the Brenner EIP includes two additional expo-
nential terms with corresponding adjustable parameters in
the attractive pairwise term, it includes a screened Coulomb
term in the repulsive pairwise term, it uses a fifth-order poly-
nomial spline between bond orders for diamond and graph-
ite, and it includes a dihedral bending term for bond energies
which plays a role in SWCNTs and graphene.
C. Parameter optimization
We have implemented a
2 minimization procedure for
each of these EIPs. A numerical algorithm was developed to
minimize
2 given by45,46
2 = �
i
��i − �exp�2
�exp
2 �i, �7�
where �exp are experimental parameters used in the fitting
process, �i are the corresponding values obtained using each
potential, and �i are weighting factors that determine the
relative importance of �i in the fitting procedure.
In minimizing
2, the greatest significance was given to
the phonon frequencies, ��, and the zone-center acoustic ve-
locities, v¯�=d�� /dq� , of graphene in the high-symmetry di-
rections. Here, �= �q� , j� designates a phonon with wave vec-
tor, q� , in branch, j. The phonon frequencies are determined
by diagonalization of the dynamical matrix for a given q� in
the two-dimensional graphene Brillouin zone. The dynamical
matrix is
D��
����q�� =
1
m�m��
�
��
���
0�,����eiq� ·R
�
��, �8�
where �� designates the �th atom in the �th unit cell, m� is
the mass of the �th atom, R� � is the lattice vector for the �th
unit cell, and � and � are Cartesian components. In Eq. �8�,
���
0�,���� are second-order IFCs which are determined by each
EIP.
We attached the most significance to the phonon frequen-
cies and zone-center acoustic velocities because of the im-
portant roles that they play in thermal transport calculations.
The parameters calculated by each EIP for graphene were
compared to the corresponding experimental parameters for
in-plane graphite. First-principles calculations of the phonon
dispersions in graphene have found excellent agreement with
measured in-plane dispersion of graphite.31,32 This is consis-
tent with the known weak coupling between the graphene
layers in graphite. The cohesive energies and lattice con-
stants of graphite and diamond were also considered in the
minimization procedure but were given lesser weight.
Using this minimization procedure for the Tersoff EIP, we
found that simply modifying the h parameter, which helps to
adjust the strength of the bond-angle term, provided vast
improvement to the optical branches of the phonon disper-
sion, while also improving the fit to the TA zone-center ve-
locity. Adjustment of the B parameter associated with the
strength of the attractive term was required to retain a decent
fit to the experimental lattice constants for both graphite and
diamond. Simple adjustment of the h parameter has previ-
ously been found to significantly improve the fits to the mea-
sured linear expansion coefficient47 and thermal conductivity
of bulk silicon.48
A slightly different approach was taken in optimizing the
Brenner model to better fit the phonon spectrum. The Bren-
ner potential includes a dihedral bonding term, not included
in the Tersoff model, which plays a role in graphene systems.
The dihedral term, Eq. �5�, has a single adjustable parameter,
T0, which was determined by fitting the lattice constant of a
hypothetical three-dimensional, hexagonal system whose di-
hedral bond angles are � /2.42,49 Changing this parameter
alone simply alters the out-of-plane acoustic and optic �ZA
and ZO� modes in graphite but leaves the other phonon
modes unaltered and has no effect on diamond since T0 is
zero for the tetrahedral configuration. We have chosen to
adjust this parameter to better fit the phonon frequencies for
the ZA branch in graphite.
The six coefficients, �i, in the fifth-order polynomial
spline, gijk, �Eq. �4c�� used to represent the bond-bending
term in the Brenner EIP introduce additional flexibility not
available in the Tersoff potential. These coefficients were
originally determined by fixing the values of the gijk and
their first and second derivatives at 109° and 120° �corre-
sponding to diamond and graphite bond angles� to match
various experimental data.42 The values for gijk were deter-
mined by fitting the cohesive bond energies of graphite and
diamond while the second derivatives were chosen to fit the
elastic constants, c11, for diamond and in-plane graphite. The
first derivatives were simply chosen to suppress oscillations
of the spline function. The coefficients, �i, are determined
from these values for gijk. These coefficients fix the spline
and its derivatives at the bond angles for diamond and graph-
ite, and the function is interpolated between these angles.
Thus, they can be adjusted to separately fit experimental data
for graphite while leaving the representation for diamond
unaltered. The bond angles for SWCNTs, though close to
graphite, fall between these two structures and thus depend
on both. We note that the bond angles for large diameter
SWCNTs approach that of graphite.
We restricted the parameter optimization of the Brenner
potential to T0 and �i to avoid significantly altering the pre-
vious fits to the extensive structural experimental data
sets.41,42 The values for gijk at 109° and 120° were altered
slightly to better fit the given experimental lattice constants
for diamond and graphite. We then adjusted the values of the
second derivatives of gijk in these materials to better fit the
zone-center acoustic velocities and corresponding phonon
frequencies. Upon plotting the fifth-order polynomial spline
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given by the old coefficients versus the optimized coeffi-
cients no visual difference can be seen. However, these small
changes introduce noticeable changes in the corresponding
phonon dispersions in graphene.
III. RESULTS AND DISCUSSION
The optimized parameter sets for the Tersoff and Brenner
EIPs are listed in Table III. These parameters provide im-
proved fits to experimental phonon-acoustic velocities and
frequencies without significantly altering fits to other struc-
tural data. The calculated phonon dispersion for graphene as
given by the Tersoff �Brenner� EIP is shown in Fig. 1 �Fig. 2�
along with the corresponding measured in-plane phonon dis-
persion for graphite.50,51 In each figure the black �red� lines
correspond to the optimized �original� parameter sets.
The original set of parameters for the Tersoff EIP gives
higher values for the TA branch velocities in the high-
symmetry directions compared to the measured data while
giving values for the quadratic ZA frequencies that fall be-
low experiment around the M point. The most obvious fail-
ure of the Tersoff EIP in describing the phonon dispersion of
graphene comes in the highest optical branches, as seen in
Fig. 1. The measured in-plane upper optic modes at the �
point are degenerate with a value of 300 THz, while the
Tersoff potential gives a value of 470 THz, a discrepancy of
nearly 40%. The Tersoff model using the optimized param-
eter set more accurately describes these upper optic phonon
branches while providing a decent fit to the acoustic veloci-
ties and phonon frequencies. However, using these param-
eters provides a poorer fit to the experimental dispersion for
the out-of-plane ZO branch. The inability to simultaneously
fit the acoustic branches and all of the optic branches is a
consequence of the Tersoff potential’s short range with only
second-nearest-neighbor interactions represented. Tewary
and Yang43 obtained a better fit to the phonon dispersion in
graphene using a longer-range EIP that extended to fourth-
nearest neighbors. Los et al.52 have also developed a some-
what more complicated long-range EIP based on the Brenner
EIP, though, phonon dispersion results have not yet been
published.
The original set of Brenner parameters, while providing a
much better description of the optic branches, does not ac-
curately represent the zone-center velocities for all of the
acoustic modes. With the original Brenner EIP parameters,
the velocities of the TA branch in the high-symmetry direc-
tions are too low by 30%, those of the LA branch 12% too
small, and the dispersion of the ZA branch undershoots the
data by as much as 20%. The optimized parameter set im-
proves the fit to the zone-center acoustic velocities and most
of the experimental ZA, TA, and LA dispersion data. This
optimized set provides a somewhat worse fit to the optic
dispersion. The inability to simultaneously fit both acoustic
and optic branches is again most likely a consequence of the
short range of this EIP.
Table IV lists measured lattice constants, cohesive ener-
gies, and acoustic velocities in the �→M direction for
graphite and the �→X direction for diamond compared with
those obtained from the Tersoff and Brenner EIPs using both
the original and optimized parameter sets. For both the Ter-
soff and Brenner EIPs, the optimized parameter sets provide
TABLE III. Optimized parameters and coefficients for the Ter-
soff and Brenner EIPs. All parameters not listed are unaltered from
the original sets.
Tersoff
h=−0.930 B=430.0 eV
Brenner
T0=−0.0165
�0=0.0000 �1=−3.1822
�2=−19.9928 �3=−51.4108
�4=−61.9925 �5=−29.0523
0
100
200
300
400
500
�
(T
H
z
)
� �� �
FIG. 1. �Color online� Phonon dispersion for graphene along
high-symmetry directions obtained using the Tersoff EIP. Thick
black lines correspond to the optimized parameter set �this work�;
thin red lines correspond to the original parameter set. Squares �tri-
angles� are in-plane experimental data points for graphite from Ref.
43 �Ref. 44�.
0
50
100
150
200
250
300
350
�
(T
H
z
)
� � � �
FIG. 2. �Color online� Phonon dispersion for graphene as given
by the Brenner EIP for high-symmetry directions. Thick black lines
correspond to the optimized parameter set �this work�; thin red lines
correspond to the original parameter set. Squares �triangles� are
in-plane experimental data