David A Egger1, Shira Weissman2, Sivan Refaely-Abramson2, Sahar Sharifzadeh3, Matthias Dauth4, Roi Baer5, Stephan Kümmel4, Jeffrey B Neaton6, Egbert Zojer7, Leeor Kronik2. 1. Institute of Solid State Physics, Graz University of Technology , 8010 Graz, Austria ; Department of Materials and Interfaces, Weizmann Institute of Science , Rehovoth 76100, Israel. 2. Department of Materials and Interfaces, Weizmann Institute of Science , Rehovoth 76100, Israel. 3. Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States. 4. Theoretical Physics IV, University of Bayreuth , 95440 Bayreuth, Germany. 5. Fritz Haber Center for Molecular Dynamics, Institute of Chemistry, Hebrew University , 91904 Jerusalem, Israel. 6. Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States ; Department of Physics and Kavli Energy Nanosciences Institute, University of California , Berkeley, California 94720, United States. 7. Institute of Solid State Physics, Graz University of Technology , 8010 Graz, Austria.
Abstract
Density functional theory with optimally tuned range-separated hybrid (OT-RSH) functionals has been recently suggested [Refaely-Abramson et al. Phys. Rev. Lett.2012, 109, 226405] as a nonempirical approach to predict the outer-valence electronic structure of molecules with the same accuracy as many-body perturbation theory. Here, we provide a quantitative evaluation of the OT-RSH approach by examining its performance in predicting the outer-valence electron spectra of several prototypical gas-phase molecules, from aromatic rings (benzene, pyridine, and pyrimidine) to more complex organic systems (terpyrimidinethiol and copper phthalocyanine). For a range up to several electronvolts away from the frontier orbital energies, we find that the outer-valence electronic structure obtained from the OT-RSH method agrees very well (typically within ∼0.1-0.2 eV) with both experimental photoemission and theoretical many-body perturbation theory data in the GW approximation. In particular, we find that with new strategies for an optimal choice of the short-range fraction of Fock exchange, the OT-RSH approach offers a balanced description of localized and delocalized states. We discuss in detail the sole exception found-a high-symmetry orbital, particular to small aromatic rings, which is relatively deep inside the valence state manifold. Overall, the OT-RSH method is an accurate DFT-based method for outer-valence electronic structure prediction for such systems and is of essentially the same level of accuracy as contemporary GW approaches, at a reduced computational cost.
Density functional theory with optimally tuned range-separated hybrid (OT-RSH) functionals has been recently suggested [Refaely-Abramson et al. Phys. Rev. Lett.2012, 109, 226405] as a nonempirical approach to predict the outer-valence electronic structure of molecules with the same accuracy as many-body perturbation theory. Here, we provide a quantitative evaluation of theOT-RSH approach by examining its performance in predicting the outer-valence electron spectra of several prototypical gas-phase molecules, from aromatic rings (benzene, pyridine, and pyrimidine) to more complex organic systems (terpyrimidinethiol and copper phthalocyanine). For a range up to several electronvolts away from the frontier orbital energies, we find that the outer-valence electronic structure obtained from theOT-RSH method agrees very well (typically within ∼0.1-0.2 eV) with both experimental photoemission and theoretical many-body perturbation theory data in theGW approximation. In particular, we find that with new strategies for an optimal choice of the short-range fraction of Fock exchange, theOT-RSH approach offers a balanced description of localized and delocalized states. We discuss in detail the sole exception found-a high-symmetry orbital, particular to small aromatic rings, which is relatively deep inside the valence state manifold. Overall, theOT-RSH method is an accurate DFT-based method for outer-valence electronic structure prediction for such systems and is of essentially the same level of accuracy as contemporary GW approaches, at a reduced computational cost.
Many electronic properties
of molecules and materials are determined
by and understood through the energetics of the valence electrons,
which are often probed experimentally using photoemission spectroscopy
(PES).[1] Via measurement of the kinetic
energy of photoemitted electrons, PES provides direct experimental
access to the electron ejection energies, the smallest of which is
theionization potential (IP). Calculating PES data from first principles
is a long-standing challenge to modern electronic structure methods.[2,3] A state-of-the-art method for obtaining ionization spectra theoretically
is many-body perturbation theory (MBPT), which calculates quasi-particle
excitation energies via solving the Dyson equation, typically within
theGW approximation (where G is the Green function and W is the dynamically
screened Coulomb potential).[4−7] However, GW calculations can be computationally demanding.
Moreover, in particular for gas-phase computations that are at the
center of this work, results can be sensitive to details of the specific
GW scheme employed[8−13] and can also be challenging to converge.[11,14]Density functional theory (DFT),[15,16] in which the
ground-state electron density, rather than the many-electron wave
function, is the fundamental quantity,[17] is a computationally efficient first principles method for calculating
the electronic structure of many-electron systems. DFT is often made
practical via theKohn–Sham (KS) scheme,[18] in which the original many-electron problem is mapped uniquely
into a fictitious noninteracting electron system yielding the same
electron density. This mapping leads to effective single-particle
equations that provide a significant conceptual and computational
simplification of the original many-electron problem. However, due
to the fictitious nature of the noninteracting electrons, the correspondence
of KS eigenvalues with ionization energies measured in an experiment
is not at all straightforward.[3,19] It can be shown that
for the exact KS potential, the energy of the highest occupied molecular
orbital (HOMO) equals the negative of the IP, a result known as the
IP theorem.[20−23] Lower-lying eigenvalues do not strictly correspond to electron removal
energies.[19] For outer-valence electrons,
however, exact DFT eigenvalues may still serve as a useful and even
quantitative approximation to electron removal energies.[3,24] We note that in general thesimulation of photoemission spectra
also requires that the photoionization cross-section is addressed.[1] Its calculation is outside the scope of the present
manuscript, which focuses on the correct description of the energetics.
Our comparison between the calculated density of states and the photoelectron
spectra concentrates, therefore, on peak positions rather than peak
intensities. We note, however, that for gas-phase ultraviolet photoemission
spectroscopy (UPS)—the standard choice for probing molecular
outer-valence states—angle-dependent cross-section effects
are irrelevant, owing to orientational averaging, and orbital-dependent
cross-section effects are relatively weak.[25] Therefore, their neglect is not expected to have serious consequences.TheKS mapping scheme relies on an exchange-correlation energy-functional
of the density, the exact form of which is generally unknown and must
be approximated. Common approximate exchange-correlation functionals
used within theKS scheme are the local density approximation (LDA)
and the generalized gradient approximation (GGA).[15,16] In the former, one assumes that at each point in space the exchange-correlation
energy per particle is given by its value for a homogeneous electron
gas. In the latter, information on deviations from homogeneity is
partly accounted for by considering gradients of the charge density.
Unfortunately, for gas-phase molecules, KS eigenvalues obtained through
the use of these approximations are not in good agreement with experimental
ionization spectra.[3,26] First, the IP theorem is grossly
disobeyed and the negative of the HOMO energy usually underestimates
the IP severely.[27−30] Even if this difference is accounted for by rigidly shifting the
theoretical eigenvalue spectrum,[31,32] the calculated
eigenvalue spectrum may still exhibit qualitative failures, notably
an erroneous ordering of the electronic levels (see, e.g., refs (33)–[41]).These two drawbacks
can be traced back to two different (yet not
unrelated) deficiencies of the above-described approximations: lack
of a derivative discontinuity (DD) and orbital self-interaction errors
(SIE).[3,26,28,42] TheDD is a uniform “jump” in theKS
potential, when approaching the integer electron number either from
above or from below. This “jump” helps to account for
the discontinuity of the chemical potential at integer electron numbers,
i.e., for the fact that the electron removal energy is not the same
as the electron insertion energy.[16] Part
of the discontinuity in the chemical potential is accounted for by
theKS kinetic energy term.[20,23] But the kinetic energy
contribution to the discontinuity in the chemical potential is generally
insufficient, and the remaining discontinuity must be provided by
theDD. Because the electron–ion and Hartree energies are continuous
in the electron density, the remaining discontinuity can only be attained
by a jump in the exchange-correlation potential. However, in standard
LDA or GGA functionals, the exchange-correlation potential explicitly
depends on the electron density and does not incorporate any orbital
dependence (in contrast to, e.g., Fock exchange). As a result, calculations
based on these approximations cannot exhibit any DD in the exchange-correlation
part of the potential.[43] Instead, they
approximately average over it, and as a consequence theKS-HOMO energy
is strongly underbinding with respect to the “true”
ionization potential.[31,44,45]TheSIE[46] arises from the fact
that
the classical electron–electron repulsion term (Hartree potential)
in theKS equation means that each electron is repelled from the total
charge in the system, including a spurious repulsion from itself.
Because KS theory is, in principle, exact, whatever error one makes
in the Hartree term must then be completely canceled out by the exact
exchange-correlation term. Unfortunately, only partial error cancellation
is obtained in either LDA or GGA. For strongly localized orbitals,
self-interaction may be significant and spuriously destabilize electron
energies.[26]Thesituation can be
improved, if one uses “hybrid”
DFT, i.e., functionals that contain exact exchange based expressions
employed using a nonlocal Fock operator.[26] We emphasize that while such functionals do not fall within theKS scheme, they are still very much within the DFT framework[3,26,47] through the generalized Kohn–Sham (GKS) scheme.[48] In theKS scheme, many-body effects are incorporated entirely in a multiplicative
potential (which is the sum of the Hartree and exchange-correlation
potentials). In contrast, in the GKS scheme, many-body effects are
incorporated in a combination of a multiplicative potential and a
nonlocal operator (nonmultiplicative potential). This is achieved
via mapping to a partially interacting electron gas. Generally, in
the GKS scheme, the additional nonlocal operator can mitigate the
need for a DD in the multiplicative potential.[26] This may reduce errors associated with averaging over theDD in practical approximations. Most hybrid functionals in everyday
use are of the global type, i.e., they contain a fixed fraction of
Fock exchange.[49−51] In practice, one typically observes that HOMO energies
extracted from such hybrid functionals are closer to experimental
ionization energies than those obtained from LDA or GGA but still
significantly underestimate those observables.[9,32,52] Spectral distortions (including the possibility
of an erroneous ordering of the electronic levels) are often mitigated,
as the fraction of Fock exchange reduces theSIE.[3,26,33,34] However, the
quantitative details of the eigenvalue spectrum typically still depend
on the specific choice of the approximate hybrid functional.[53]One reason for the failure of conventional
hybrid functionals to
obey the IP theorem is the presence of only a fraction of exact exchange.
Because of this, they do not yield the correct ∼1/r asymptotic potential that should be “felt” by an electron
at large distances from the molecule, which is especially relevant
for describing theionization process. However, when using the full
Fock exchange to correct for that, the delicate balance between exchange
and correlation is disrupted, which is highly detrimental—especially
for short-range electron–electron interactions that govern
chemical bonding.[26] A promising strategy
for tackling that problem is offered by the more recent class of range-separated
hybrid (RSH) DFT functionals,[54] pioneered
by Savin and co-workers.[55] In these functionals,
the interelectron Coulomb repulsion term is separated into long-range
(LR) and short-range (SR) components via a range-separation parameter
γ. The LR term is mapped using full Fock exchange, thereby establishing
the correct asymptotic potential. TheSR termed is (typically) mapped
using a GGA approach, maintaining the compatibility between the exchange
and correlation expressions. In this approach, one still needs to
determine the range-separation parameter, γ.Both formal
considerations[56] and practical
simulations show that aiming at accurate results for a broad range
of systems, one typically needs significantly different values of
γ. This is taken care of by using optimally tuned RSH (OT-RSH)
functionals.[32,47] There, instead of using one and
the same range-separation parameter for all systems, γ is tuned
for each system such that physically motivated tuning conditions are
fulfilled without introducing any empirical parameters. In particular,
it has been shown for gas phase molecules that insisting on the HOMO
energy being equal to the negative of the IP (i.e., fulfilling the
IP theorem) for the neutral and anion species yields highly accurate
HOMO energies and HOMO–LUMO gaps when compared to experimentally
measured fundamental gaps or to the results of GW calculations.[52,57] More recently, some of us have shown that in addition to the IP
and the fundamental gap, the entire higher-lying part of the valence-electron
spectrum of gas-phase molecules and molecular solids can be accurately
described by the eigenvalues of OT-RSH ground-state DFT calculations.[58,59] In particular, it has been suggested that a more general OT-RSH
functional that introduces a fraction of Fock exchange in theSR and
simultaneously maintains the full Fock exchange in the LR[60] allows for a more flexible treatment of differently
localized molecular orbitals, resulting in an accurate description
of more complex organic molecules relevant for applications in organic
electronics.[58]In the present contribution,
we further investigate the capabilities
of such more general OT-RSH functionals for predicting outer-valence
electron spectra of organic molecules in thegas phase. First, we
study the prototypical aromatic building blocks—benzene, pyridine,
and pyrimidine (see Figure 1a). This choice
is motivated by the fact that for such simple systems, existing high-level
experimental PES data can serve as useful benchmarks for theory. Moreover,
thenitrogenheteroatoms in theazabenzenes can be expected to result
in differently localized molecular orbitals in the higher-lying part
of the valence electron system and, in particular, close-lying σ
and π states.[30] For their accurate
description, theOT-RSH approach would need to attain a quantitatively
satisfactory balance of self-interaction errors for both.[58] Moreover, these prototypical systems were recently
identified as a challenge for both theGW[61] and theOT-RSH[62] methods. Here, we perform
both OT-RSH and GW calculations for these systems and find that they
overall yield similar (to ∼0.2 eV) eigenvalue energies, both
being highly accurate compared to PES experiments. We suggest that
a simultaneous reliable prediction of both π and σ orbital
energies is indeed within the realm of theOT-RSH functional applied
here. Still, we identify one specific molecular orbital that is peculiar
to ring-type molecules, which in theOT-RSH calculations displays
a significant deviation from experimental results and GW calculations.
We analyze the origin of this discrepancy by further computing the
spectra of the same systems using conventional hybrid calculations,
as well as explicitly self-interaction corrected (SIC) calculations.
Figure 1
Molecules
studied in this article. (a) Prototypical aromatic rings—benzene,
pyridine, and pyrimidine. (b) More complex representative systems—terpyrimidinethiol
and copper phthalocyanine.
Molecules
studied in this article. (a) Prototypical aromatic rings—benzene,
pyridine, and pyrimidine. (b) More complex representative systems—terpyrimidinethiol
and copper phthalocyanine.With the obtained overall very encouraging results at hand,
we
proceed toward larger and more complex systems, here chosen to be
terpyrimidinethiol and copper phthalocyanine (3N-thiol and CuPc, see
Figure 1b). These molecules, which also contain
N as a heteroatom, are interesting for novel applications in organic
electronics[63−68] but at the same time challenging to assess theoretically due to
pronounced differences in SIE among the high-lying orbitals in the
valence electron spectrum.[34,68,69] Through a comparison to GW calculations and/or PES experiments,
we show that OT-RSH can provide accurate valence-electron spectra
also for these more complex organic systems, with an optimal choice
for the short-range Fock exchange that is guided by conventional hybrid
functional calculations. Our results clearly demonstrate that OT-RSH
functionals are a highly promising, state-of-the-art approach for
predicting ionization spectra of gas-phase organic molecules.
Theoretical and Methodological Details
Formalism
As mentioned in the Introduction, we examine
a generalized RSH form,
which allows for different amounts of Fock exchange in the short range
and in the long range.[70] We use the range-partitioning
expression of Yanai et al., given by[71]Here, r is the
interelectron
coordinate and α, β, and γ are adjustable parameters.
Naturally, this partition is not unique, but the choice of the error
function is computationally convenient when using a Gaussian basis
for expanding the wave functions of finite systems.[55] Equation 1 defines the range-separation
procedure, where theCoulomb operator, 1/r, in the
exchange-part of the xc potential is replaced by two complementary
terms, which are treated differently. As suggested by the “HF”
and “GGA” delimiters in the equation, the first term
is treated using Hartree–Fock exchange, the second term is
treated using GGA semilocal exchange. Specifically, using the Perdew–Burke–Ernzerhof
(PBE)[72] form for the GGA exchange-correlation
leads to the following expression for the exchange-correlation energy[73]where the superscripts LR and SR denote that
the full Coulomb repulsion, 1/r, has been substituted
by the LR and SRCoulomb repulsions, erf(γr)/r and erfc(γr)/r, respectively. PBE correlation is used for the entire
range. Yanai et al. viewed α, β, and γ as semiempirical
parameters and determined “universal” values for them
based on benchmark thermochemistry data. Here, we wish to determine
these parameters based on the satisfaction of inherent constraints
on the exchange-correlation density functional, without recourse to
experimental data.From eq 2 it is clear
that for full long-range Fock exchange, which guarantees the correct
asymptotic potential, one condition is that α + β = 1
(note that the fit to thermochemistry data performed by Yanai et al.
leads to α + β = 0.65, i.e., to a potential that is not
asymptotically correct and will, therefore, run into problems when
trying to associate eigenvalues with ionization energies or electron
affinities). Equation 2 further shows that α
controls the fraction of SR Fock exchange. We restrict the current
investigation to α values between 0 and 0.2. This is because
in the former limit, theSR behavior is expected to be GGA-like; in
the latter limit, theSR behavior is expected to resemble that of
a conventional hybrid functional.[58,74] For example,
in thePBE0 hybrid functional, which is based on thePBE semilocal
functional, a global exact-exchange fraction of 25% is used.[51] In a RSH functional, theSR Fock exchange fraction
is indeed expected to be somewhat smaller than in a conventional hybrid
functional, because the LR Fock exchange is 100% in the former but
only a finite fraction in the latter. The remaining parameter, γ,
controls the range-separation. As mentioned in the Introduction, we do not seek a universal value for γ.
Instead, we rely on a nonempirical tuning procedure, where γ
is adjusted on a per-system basis. One possibility to determine the
optimal gamma, γopt, is to choose it such that the
IP theorem is satisfied:[32,75]εH(N) is
the HOMO energy of theN-electron system and IP(N) is theionization potential of theN-electron system, determined from total energy difference of theN- and (N – 1)-electron systems.
In general, as emphasized by the superscript notation, both εH(N) and IP(N) display a
strong γ dependence.It is often useful to invoke the
IP theorem not only for the molecule
in its neutral state but also in certain charged states. The condition
which then needs to be fulfilled is that the target function J2, given by[32]is minimized. In eq 4, i can in principle adopt any integer number, and
one can observe the effect of adding further terms on the residual J value (vide infra). In practice, only
values of i that are close to zero are of interest
to avoid information from highly charged radical species—a
point elaborated below. In particular, including the anion has been
found to be highly beneficial for the prediction of fundamental gaps
and the energies of charge-transfer excited states.[52,76,77] Note that when restricting i to 0 in eq 4, which we do here if the electron
affinity is negative and the molecule does not bind an extra electron,
then eq 3 is recovered. In agreement with previous
work,[32,52,57−60,78−80] it was repeatedly
found that the optimal γ strongly changes from one system to
theother, showing that our “per system” tuning approach
is indeed necessary.The above-mentioned optimal-tuning of γ
can, in principle,
be performed for any choice of theSR Fock exchange parameter, α.
In fact, various strategies can be employed to determine α.
These are discussed below in detail, along with their pros and cons,
in the context of specific computational results.
Computational Details
All PBE calculations
(within theKS scheme) and PBE0 and RSH calculations (within the GKS
scheme) presented in this article were obtained within the QChem[81] and NWChem[82] codes,
using cc-PVTZ[83] basis functions. All geometries
were optimized using thePBE functional. As the above-described tuning
scheme is based on components taken from well-established density
functionals (cf. eq 2) and range-separation
is available in many different electronic structure codes, optimal
tuning of γ via eq 4 is straightforward
to perform. Moreover, the tuning strategy is computationally efficient,
as it relies on a series of standard total-energy DFT calculations.
We note, however, that when charging thegas-phase molecule as part
of the above-explained tuning procedure, the configuration of the
cation and/or anion must be identified carefully, as it may affect
the results of the calculation.[84]We illustrate the possible complications associated with different
ion configurations by considering pyridine—one of the molecules
of Figure 1, which is discussed extensively
in the results section. When tuning γ using the above-described
approach, it is important to ensure that the character of the HOMO
(related to the left-hand term in eq 3) corresponds
to the “hole density,” defined as the charge-density
difference of the neutral and charged states (and, consequently, related
to the right-hand term in eq 3). For pyridine,
the self-consistent solution of the GKS equation with theRSH functional
was found to lead to two different doublet configurations of the cation,
depending on the initial guess used in the procedure. These two configurations
correspond to two qualitatively different hole densities (see Figure 2, left part). As shown in the right part of Figure 2, the reason for the different hole densities is
that the two cation configurations possess two different LUMO orbitals;
i.e., the two cationic ground states represent two different ionization
processes. The main difference is that the electron “loss”
is, in one case, from a π orbital and, in theother case, from
a σ orbital. These two cationic configurations are energetically
close, which is consistent with the observation that the HOMO and
the HOMO–1 of pyridine are very close in energy (vide
infra). Importantly, however, only the “hole density”
depicted in Figure 2b—which is associated
with the configuration lower in energy, i.e., the true ground state
predicted for the cation—corresponds to the HOMO of pyridine
(see Figure 2c). Therefore, one has to ensure
that the cationic state shown in Figure 2b
is indeed the one entering the tuning procedure, in order to retain
consistency for the orbital energies and total energies required in
eq 3.
Figure 2
Charge-density difference between neutral and
cation (left) and
LUMO of cation (right), obtained using two different doublet configurations
(a and b) of the pyridine cation. The configuration denoted by b is
the energetically more stable one. In the charge-density difference
plots, red (blue) regions denote areas of electron density depletion
(accumulation) as a consequence of the ionization process. (c) HOMO
of the neutral pyridine molecule.
Charge-density difference between neutral and
cation (left) and
LUMO of cation (right), obtained using two different doublet configurations
(a and b) of thepyridine cation. The configuration denoted by b is
the energetically more stable one. In the charge-density difference
plots, red (blue) regions denote areas of electron density depletion
(accumulation) as a consequence of theionization process. (c) HOMO
of the neutral pyridine molecule.For our analysis of theOT-RSH results, we also performed
comparative
GW calculations, as well as self-interaction-corrected calculations
and KS-PBE0 calculations (the latter are defined and explained below).
Our GW calculations are based on a standard G0W0 scheme,[14] where quasi-particle energies
are computed via a first-order correction to DFT eigenvalues, with
no self-consistent update of the starting wave functions. The starting
quasi-particle wave function for the G0W0 corrections
was obtained from thePBE functional.[72] The static dielectric function is computed within the random-phase
approximation and extended to finite frequency via the generalized
plasmon-pole (GPP) model of Hybertsen and Louie.[5]Our G0W0 calculations were
performed using
the BerkeleyGW package,[85] which employs
a plane-wave basis set to compute the dielectric function and self-energy,
using a PBE starting point. DFT-PBE calculations were performed within
the Quantum Espresso package,[86] which is
compatible with BerkeleyGW. The nuclei and core electrons were described
by Troullier–Martins relativistic norm-conserving pseudopotentials,[87] which are part of the Quantum Espresso pseudopotential
library. Here, one, four, five, and six electrons were explicitly
considered as valence electrons for H, C, N, and S, respectively,
with cutoff radii (in Bohr) of 1.3, 0.5, 1.0, and 1.7, respectively.
We used a plane-wave basis cutoff of 80 Ry for benzene and 120 Ry
for pyridine, pyrimidine, and 3N-thiol. These values lead to a total
DFT energy converged to <1 meV/atom. To avoid spurious interactions
with periodic images, we used a supercell with lattice vectors twice
thesize necessary to contain 99% of the charge density and, when
computing theGW self-energy, theCoulomb interaction was truncated
at distances larger than half of the unit cell size. The supercell
dimensions, in atomic units, were 35 × 39 × 24; 30 ×
20 × 32, 19 × 30 × 30; and 64 × 26 × 15.5
for benzene, pyridine, pyrimidine, and 3N-thiol, respectively.Our static dielectric function and self-energy were constructed
from 4914, 5515, 5071, and 3598 unoccupied states, respectively, for
benzene, pyridine, pyrimidine, and 3N-thiol. For the former three
prototypical small molecules, this energy range corresponds to 90
eV above the vacuum energy, while for 3N-thiol, it corresponds to
50 eV above the vacuum energy. Fewer states were included for 3N-thiol
due to the greater computational expense associated with this rather
large system. A static remainder approach was applied to the self-energy
to approximately complete the unoccupied subspace.[88] The plane-wave cutoff for the dielectric function was 30
Ry for pyridine and pyrimidine and 24 Ry for 3N-thiol and benzene.
We find that these parameters converge the HOMO energies of the prototypical
small molecules to less than 0.1 eV. On the basis of the convergence
behavior of these molecules and the residual differences that we find
for GW and OT-RSH HOMO energies (vide infra), we extrapolate the errors
associated with eigenvalues of the3N-thiol calculation to be less
than 0.2 eV.All SIC calculations were based on the seminal
SIC concept of Perdew
and Zunger.[46] However, we constructed a
spatially local, multiplicative exchange-correlation potential identical
for all orbitals in the system, which ensures that theSIC remains
within theKS realm.[89,90] This is based on the generalized
optimized effective potential (OEP) equation, which extends the original
OEP equation to the case of unitarily variant functionals. It is solved
using the generalized Krieger–Li–Iafrate (KLI) approximation.[89,91] Unlike the KLI approximation to the standard OEP equation, which
can introduce significant deviations for theSIC,[92] the generalized KLI approximation used here has been shown
to be an excellent approximation to the generalized OEP. The additional
degree of freedom arising from the variance inherent to our procedure
can be used to construct a set of orbitals that minimize the total
SIC energy of the system, where we applied a complex-valued energy
minimizing unitary orbital transformation.[90] For additional insights, we also used thePBE0 functional in conjunction
with a local multiplicative potential, constructed—in contrast
to traditional GKS schemes—via the KLI[91] approximation for the exact exchange part of the functional. We
refer to these calculations as PBE0KS.All SIC and
PBE0KS calculations were performed with
the Bayreuth version[93] of the PARSEC real-space
code,[94] where we employed a grid-spacing
of 0.2 Bohr and Troullier–Martins norm-conserving pseudopotentials.[87]Finally, for a meaningful comparison between
the results of different
functionals and/or computational approaches, we tested explicitly
that eigenvalues obtained from different codes and basis-set expansions
(Gaussian, planewave, real-space) do not differ by more than 0.1 eV
for the same underlying functional. Furthermore, we verified by visual
inspection[95,96] that eigenvalues calculated from
different methods correspond to the same molecular orbitals.
Prototypical Aromatic Rings—Results
and Discussion
We start our analysis by considering the prototypical
aromatic
gas-phase molecules of Figure 1a. The computed
peak positions in the eigenvalue spectra (neglecting differences of
the photoionization cross sections) should correspond to those in
the photoemission spectra (in arbitrary units, denoted as a.u. or
arb. units) and are shown in Figure 3. The
computed spectra are obtained from OT-RSH eigenvalues with SR Fock
exchange fractions of α = 0 and α = 0.2 for (a) benzene,
(b) pyridine, and (c) pyrimidine. The results are compared to gas-phase
PES spectra from refs (97)–[99] and to
the results of our GW calculations. Importantly, the spectra are plotted
on an absolute energy scale; i.e., the calculated eigenvalue spectra
shown in Figure 3 have not been shifted so as to align the theoretical data with experimental
results. To facilitate a visual comparison with the experimental spectra,
we broadened the calculated eigenvalue spectra via convolution with
a Gaussian (with a standard deviation of 0.4 eV for benzene and 0.2
eV for pyridine and pyrimidine). For all three systems, we find an
overall excellent agreement between OT-RSH, our GW calculations, and
experimental results. In particular, the HOMO energies calculated
from theOT-RSH approach correspond very well to the first peak in
the experimental spectrum, indicating the success of the tuning procedure.
In addition, the shape of the experimental spectra at higher binding
energies is very well reproduced by theOT-RSH spectra. Note that
the comparison extends over a relatively large energy range of ∼8
eV below the first IP (much more than the ∼3 eV in previous
work on somewhat larger aromatic-based organic molecules[58]). The agreement over such a wide energy range
is remarkable, considering that the correspondence between DFT eigenvalues
and photoemission energies is expected, on general theoretical grounds,
to deteriorate for lower-lying states.[3,24,100] Interestingly, the shape of theOT-RSH spectra for
these molecules is only mildly sensitive to the choice of α
(which is not always the case—see below).
Figure 3
Valence electron spectra
for (a) benzene, (b) pyridine, (c) pyrimidine,
as obtained from experiment (benzene and pyridine, ref (97); pyrimidine, refs (99) and (98), reference I and II in
the figure), compared with simulated data obtained from GW and OT-RSH
calculations (with two different amounts of SR Fock exchange, α),
broadened with Gaussians of widths 0.4, 0.2, and 0.2 eV, respectively,
to facilitate comparison with experimental results.
Valence electron spectra
for (a) benzene, (b) pyridine, (c) pyrimidine,
as obtained from experiment (benzene and pyridine, ref (97); pyrimidine, refs (99) and (98), reference I and II in
the figure), compared with simulated data obtained from GW and OT-RSH
calculations (with two different amounts of SR Fock exchange, α),
broadened with Gaussians of widths 0.4, 0.2, and 0.2 eV, respectively,
to facilitate comparison with experimental results.Despite the overall agreement, there is one particular
feature
which does not agree with experimental results for each of the three
molecules: For benzene, the pronounced intensity in theOT-RSH spectra
around −13 eV is in contrast to the very low intensity seen
in the experiment. For pyridine and pyrimidine, mismatches occur around
−13 eV and −15 eV, respectively. These discrepancies,
discussed in more detail below, are observed for both considered SR
choices (α = 0 and α = 0.2). The main deviation between
our GW calculations and experiments is found for thebenzene molecule,
where the feature that in the experiment occurs around −11.5
eV is shifted to higher binding energies. A similar discrepancy (as
well as some additional ones for theother rings) has previously been
pointed out by Marom et al.[61]A precise
quantitative comparison between theory and experiment
beyond the above statements is complicated by several aspects: (i)
The peaks in the experiments are not well separated; i.e., to determine
peak maxima and, correspondingly, vertical ionization energies, one
would need to perform extensive fitting. (ii) While important information
on orbital symmetry and localization can be obtained directly from
experimental results, it is common practice to provide a detailed
assignment of orbital shape and ordering based on comparisons to theory,
as was done in, e.g., ref (97). (iii) There are also some deviations between different
experimental reports, e.g., for pyrimidine, where the two experimental
spectra from refs (98) and (99) (shown in
Figure 3c) appear to be shifted with respect
to each other by ∼0.2 eV. Therefore, in the following, we choose
to compare theoretical data only to the original experimental spectra
and avoid the extraction of vertical ionization series from the experiments.
Nevertheless, in the interest of putting our OT-RSH results for these
prototypical systems into perspective with previous literature findings,[62] we adopt the extracted experimental values for
theionization energies reported by Marom et al.[61] We can then perform a straightforward statistical analysis
of mean absolute differences (MADs) between theory and experiment.
This yields MADs of ∼0.1 eV for our GW calculations and MADs
of ∼0.2 eV for theOT-RSH (α = 0.2) calculations. Ref (62) can be understood to suggest
that the accuracy of theOT-RSH method falls short of that of GW.
In fact, the MADs of theOT-RSH calculations differ from those of
our GW calculations by an extent which is marginal and on par with
the experimental resolution. Furthermore, the MAD between OT-RSH and
GW results is ∼0.2 eV, i.e., in the same range. Similar conclusions
hold for the3,4,9,10-perylene-tetracarboxylic-dianhydride (PTCDA)
and 1,4,5,8-naphtalene-tetracarboxylic-dianhydride (NTCDA) molecules
discussed in detail in refs (58) and (62).For a deeper analysis of the remaining differences between
theory
and experiment and their origin, we turn to a detailed comparison
between theOT-RSH and GW eigenvalues, given in Figure 4. For each eigenvalue, the figure also provides the corresponding
single-electron orbital.
Figure 4
Valence eigenvalue spectra of (a) benzene, (b)
pyridine, and (c)
pyrimidine, obtained from GW, OT-RSH, and the nonoptimally tuned LC-
ωPBE and LC-ωPBE0 RSH functionals. The GW spectra shown
were obtained from literature data (scanned in with corresponding
color coding from ref (61)) with two different starting points, and from our own work. The
OT-RSH data were obtained from two different choices for the amount
of SR Fock exchange, α.
Valence eigenvalue spectra of (a) benzene, (b)
pyridine, and (c)
pyrimidine, obtained from GW, OT-RSH, and the nonoptimally tuned LC-
ωPBE and LC-ωPBE0 RSH functionals. TheGW spectra shown
were obtained from literature data (scanned in with corresponding
color coding from ref (61)) with two different starting points, and from our own work. TheOT-RSH data were obtained from two different choices for the amount
of SR Fock exchange, α.It has been recently implied[62] that
the satisfactory agreement between OT-RSH and GW results, reported
in ref (58), worsens
if the comparison is made to a GW calculation based on a hybrid-functional
DFT starting point, rather than on a PBE starting point. To examine
this, the first two columns in Figure 4 show
PBE- and PBE0-based G0W0 valence-electron energies
computed by Marom et al.[61] for the small
aromatic systems. Our PBE-based G0W0 calculations,
based on the scheme presented in ref (14) and already shown in Figure 3 to agree well with experiment results, are given in the third
column in Figure 4. They are followed by our
two (α = 0 and α = 0.2) OT-RSH results. As in Figure 3, all eigenvalues are shown on an absolute energy
scale, with no shifting of the computed data. For all three prototypical
rings, our PBE-based G0W0 calculations, within
a plasmon-pole approximation,[5] are closer
to thePBE0-based “full frequency”[101] G0W0 calculations of Marom et al.[61] than to their PBE-based ones. Specifically,
the MAD between our PBE-based G0W0 results and
the literature ones (averaged over outer valence orbitals of all three
molecules) is 0.56 eV. The MAD is reduced to only 0.22 eV upon comparison
with the G0W0 results based on PBE0. The difference
stems from the fact that these two non-self-consistent, “one-shot”
G0W0 results are calculated using different
approximations within theGW scheme itself. Here, we use a plasmon-pole
approximation, pseudopotentials, and a plane-wave basis, an approach
that yields good agreement with measured IPs for small gas-phase molecules;[12,14] ref (61) reports
all-electron calculations, with a fully frequency-dependent dielectric
function and a finite localized basis. Indeed, the outcome of a GW
calculation can depend on more than just the starting point,[9,12,14,102,103] and more specifically, plasmon-pole
models have been seen, in other classes of systems such as simple
oxides,[104,105] to enhance the magnitude of GW corrections.
A detailed discussion of the relative accuracy and precision and the
pros and cons of different G0W0 approaches for
molecular systems is well outside the scope of this manuscript and
will be taken up elsewhere. Here, the only salient point is that thesimilarity between the second and third columns of Figure 4 validates the comparison made here and in ref (58), to thePBE-based GW methodology
of ref (14) (simply
referred to as GWhereafter). Generally, differences of 0.1–0.2
eV, owing to numerical precision, are expected in present-day GW approaches.
As mentioned above, uncertainties of similar magnitude are expected
in many of the experiments relevant in the present context. Beyond
numerical precision, owing to the physical approximations inherent
in any choice of DFT functional, as well as in a G0W0 or GW approximation to the self energy, energy differences
smaller than ∼0.1–0.2 eV are beyond the accuracy of
these approaches.Turning to the detailed comparison between
OT-RSH and our GW calculation,
given in Figure 4, the following picture emerges.
First, theOT-RSH HOMO energies for all three systems are in very
good (<0.15 eV) agreement with the respective lowest quasi-hole
energy computed from GW. Excellent agreement of OT-RSH HOMO values
with reference theoretical or experimental IPs has been previously
reported for a variety of systems—see, e.g., refs (52), (57), and (78). Nevertheless, this finding
is still not trivial, because the HOMO of benzene consists of degenerate
π orbitals, whereas the HOMO of pyridine and pyrimidine is of
σ character (n, to be precise). We emphasize
the importance of the tuning procedure for obtaining this level of
accuracy for the HOMO energy. For comparison, consider the LC-ωPBE[106] or LC-ωPBE0[74] functionals. Both are PBE-based RSH functionals just like the one
used here, with (α, γ) pairs of (α = 0, γ
= 0.4 Bohr–1) and (α = 0.2, γ = 0.2
Bohr–1), respectively; i.e., they employ a fixed
nontuned value of γ. The outer-valence energies obtained from
these two functionals are shown in the two right-most columns of Figure 4. For the LC-ωPBE functional, the fixed-γ
value is much larger than the optimally tuned one at α = 0 (cf.
Figure 3; γopt = 0.287 Bohr–1, γopt = 0.312 Bohr–1, and γopt = 0.353 Bohr–1 for
benzene, pyridine, and pyrimidine, respectively), and consequently,
the LC-ωPBE spectrum is too low in energy. Complementarily,
the LC-ωPBE0 fixed-γ value is smaller than that obtained
with optimal γ tuning at α = 0.2 (cf. Figure 3; γopt = 0.238 Bohr–1, γopt = 0.235 Bohr–1, and γopt = 0.278 Bohr–1 for benzene, pyridine,
and pyrimidine, respectively), and the spectrum is too high in energy.
Even for benzene, where this is a smaller effect, the LC-ωPBE0
are shifted by ∼0.35 eV from our GW data and by ∼0.25
eV from theOT-RSH (α = 0.2) data. For pyrimidine, the effect
is more pronounced and the shifts amount to ∼0.55 eV and ∼0.6
eV, respectively. This observation is fully consistent with the discussion
of ref (32) (especially
Figure 6 therein) and underscores once again the importance of optimal
tuning.With the optimally tuned functional, the predicted deeper-lying
parts of the spectra (with one exception, mentioned previously and
discussed in more detail below) are in overall excellent agreement
with our GW calculations in spite of the large energy range and the
fact that for all systems both σ and π orbitals are present.
Increasing α from 0 to 0.2 slightly improves the agreement between
OT-RSH and GW, but the effect is overall minor for this kind of system;
shifts in orbital energy amount to up to ∼0.2 eV, as shown
in the Supporting Information (SI)). The
reasons for this minor impact of α are discussed below.One may question the accuracy of theOT-RSH functional for describing
states with higher binding-energies because of the absence of piecewise
linearity[62] (discussed in more detail below)
for highly charged species of the studied system. Such piecewise linearity
should indeed be obtained with the exact DFT functional. However,
it should be kept in mind that a highly charged radical is much less
stable and undergoes considerable charge density relaxation and orbital
reordering with respect to the neutral or cationic molecule. As shown
above for the case of thepyridine molecule, even for the (only singly
charged) cation, it can be difficult to obtain a meaningful ground
state, and this issue can be expected to be more severe for more highly
charged molecules. Therefore, while indeed piecewise linearity in
principle should be observed with the exact functional also for highly
charged species, we believe that other issues are more relevant for
describing accurately the excited states of thesingly charged cation,
which are the ones essential for describing the photoemission process.[3,93,107,108]The one discrepancy between theGW and OT-RSH data (vide supra)
involves a particular ring-shaped π orbital (orange-colored
in Figure 4), which is specific to cyclic compounds.
In theOT-RSH, this orbital appears significantly below its GW position
(by ∼0.4 eV for benzene and pyridine and an even worse ∼0.7
eV for pyrimidine, almost independently of α). For all three
molecules, this orbital is primarily responsible for the remaining
disagreement between theOT-RSH calculations and the experimental
spectra in Figure 3.To understand theOT-RSH results in more detail, and to explore
the possible origins of this remaining discrepancy, we performed additional
DFT calculations with several different functionals. Of all DFT functionals
studied here, theOT-RSH one is the only one capable of obeying theionization potential theorem of eq 3 and, consequently,
providing HOMO energies that are close to the experimental IP.[3,32] Therefore, in the following comparison, all energies are reported
relative to the HOMO energy of the respective calculation (which is
set to zero). The resulting shifted eigenvalue spectra for the three
prototypical aromatic molecules are shown in Figure 5, with the original HOMO energies shown on top.
Figure 5
Shifted eigenvalue
spectra of (a) benzene, (b) pyridine, and (c)
pyrimidine obtained from different theoretical schemes: a semilocal
functional (PBE), a conventional hybrid functional (PBE0) in both
the Kohn–Sham (KS) and generalized Kohn–Sham (GKS) scheme,
a self-interaction-corrected (SIC) calculation, with and without additional
“stretching” of the energy axis, GW calculations based
on a PBE starting point, and optimally tuned range-separated hybrid
(OT-RSH) calculations with two different short-range exchange parameters, α
= 0 and α = 0.2. See text for further details on the computational
approaches. The absolute HOMO energy, in electronvolts, is given at
the top of each column.
Shifted eigenvalue
spectra of (a) benzene, (b) pyridine, and (c)
pyrimidine obtained from different theoretical schemes: a semilocal
functional (PBE), a conventional hybrid functional (PBE0) in both
theKohn–Sham (KS) and generalized Kohn–Sham (GKS) scheme,
a self-interaction-corrected (SIC) calculation, with and without additional
“stretching” of the energy axis, GW calculations based
on a PBE starting point, and optimally tuned range-separated hybrid
(OT-RSH) calculations with two different short-range exchange parameters, α
= 0 and α = 0.2. See text for further details on the computational
approaches. The absolute HOMO energy, in electronvolts, is given at
the top of each column.First, we compare our OT-RSH results to those obtained with
their
“parent” semilocal functional—PBE—and
those obtained from PBE0, the most popular “conventional”
hybrid functional based on PBE. In the latter functional, semilocal
PBE exchange is mixed with 25% nonlocal Fock exchange for the entire
interaction range. This leads to an orbital-dependent functional for
the exchange-correlation energy,[26] which
can then be used within DFT in two different ways. If one wishes to
remain within theKS framework, one must take the variational derivative
of the exchange-correlation energy with respect to the density, so
as to determine the multiplicative KS potential.
This can be achieved for an implicit density-functional by solving
the (integro-differential) optimized effective potential (OEP) equation.[26,109−111] Here, we solve this equation within the
KLI approximation[91] (for details, see the
“Computational Details” section)
and refer to the result as PBE0KS. Alternatively, one can
minimize the total energy with respect to the orbitals. This is the
almost universal practice with hybrid functionals, which (as explained
in the Introduction) is rigorously justified
within the generalized Kohn–Sham scheme. We refer to this result
as PBE0GKS.A first observation is that the shifted
PBE0KS eigenvalues
are virtually identical to the shifted PBE ones for all systems. This
is in agreement with similar observations reported in ref (53). One notable difference
between thePBE and PBE0KS results is that the shift needed
to align thePBE0KS HOMO energy to the experimental IP
energy is substantially smaller than in PBE, albeit still significant.
More profound differences occur between thePBE0GKS and
thePBE0KS data. While the amount of shift needed for alignment
of the HOMO with experimental results is essentially the same for
PBE0GKS and PBE0KS, thePBE0GKS eigenvalues
are overall “stretched” (= energy rescaled) with respect
to thePBE0KS data—as seen most clearly for the
case of benzene. For pyridine and pyrimidine, some additional orbital
reordering is found, especially in the upper part of the valence band,
due to mitigation of self-interaction errors, as discussed below.
Such a “stretching” of the energy scale has been observed
previously (see, e.g., refs (53), (112),
and (113)): Körzdörfer
and Kümmel[53] have rationalized it
by arguing that, if the differences in the shapes of theKS and GKS
orbitals are ignored, then the difference between GKS and corresponding
KS eigenvalue can be viewed in terms of first-order perturbation theory
involving the difference between Fock and semilocal exchange. They
suggested that this first-order correction mimics successfully the
first-order correction between KS values and ionization energies,
which is known to dominate for outer-valence electrons.[3,24,100] Indeed, the shifted PBE0GKS eigenvalues are in much better agreement with GW than thePBE0KS ones. This underscores the beneficial effect of
the nonlocal potential operator that is inherent to the GKS scheme
but absent in theKS schemes.As a next step, the role played
by the self-interaction error (SIE)
in the description of these systems shall be assessed, also in order
to understand whether orbital SIE considerations may explain the discrepancy
found above for the ring-shaped π orbital. In order to examine
that, we have performed SIC calculations within the KS scheme (for
details, see the “Computational Details” section), which results in SIE-free orbitals and eigenvalues.
Generally speaking, the shifted SIC spectra are quite similar (but
not identical) to the shifted PBE0KS spectra for all systems,
although some eigenvalue differences between the two spectra (up to
∼0.3 eV for benzene and ∼0.4 eV for pyridine and pyrimidine)
are found. This leads to the above-mentioned orbital reordering found
for pyridine and pyrimidine once theSIE is mitigated. We furthermore
find that SIC modifies PBE eigenvalues differently for π and
σ orbitals, by an average of 0.2 eV, which in particular leads
to a reordering of the close-lying HOMO–1 and HOMO–2
of pyrimidine. Notably, these differences in theSIC corrections for
π and σ PBE orbital energies are rather similar for all
three systems, meaning that the relative differences of SIEs in the
σ and π orbitals of benzene are similar to the ones in
pyridine and pyrimidine. We further note that, for these particular
systems, the magnitude of theSIC modifications is moderate, suggesting
a moderate SIE in these systems.Comparison of theSIC data
to our GW calculations reveals immediately
that, just like thePBE0KS data, they would benefit from
further “stretching.” This is fully consistent with
the fact that both SIC and PBE0KS spectra arise from a
KS, rather than a GKS, calculation. We can simulate the effect of
such “stretching” on theSIC spectrum by multiplying
the shifted SIC eigenvalues with a constant (a procedure that is,
in fact, often performed heuristically in the comparison of KS data
with experimental spectra—see, e.g., refs (114) and (115)). For each SIC spectrum,
we chose this stretching factor such that the lowest-energy PBE0GKS and SIC eigenvalues agree. For all three prototypical systems,
the resulting stretched SIC eigenvalue spectra are in overall better
agreement with thePBE0GKS spectra than the regular (unstretched)
SIC spectra and, furthermore, are in very good agreement with theOT-RSH data and with GW. For a few of thepyridine and pyrimidine
orbitals, we find some remaining deviations of the stretched SIC from
thePBE0GKS and OT-RSH results, which is, however, expected
as the three approaches are very different. This agreement shows that
a (range-separated or conventional) hybrid can be highly effective
in the quantitative mitigation of SIEs, even though it is not rigorously
self-interaction free because only a fraction of exact exchange is
employed in the short range. Indeed, similar observations have been
made for many other molecular systems,[33−35,39,53,58,61,112,116] often by comparison to experimental results, but
also by comparison to SIC.[36,68] This rules out that the poor description of the “ring-shaped”
(orange-colored) π orbital by OT-RSH is due to a general lack
of balance in the description of π and σ orbitals owing
to theSIE.Instead, we attribute the incorrect description
of this highly
delocalized orbital to the absence of beyond-PBE (and possibly nonlocal)
correlation. This is supported by the observation that this π
orbital is also overbound in the shifted PBE0GKS data,
albeit by a lesser amount of ∼0.2 to ∼0.35 eV. As semilocal
exchange is known to mimic static correlation,[117,118] it stands to reason that further removal of some of it, as in theOT-RSH scheme, would worsen thesituation. From this point of view,
the error in this orbital is then yet one more issue of compatibility
between exact exchange and correlation, especially a static one.[26] However, one cannot rule out that even if the
correlation issue is overcome, an error would still remain, owing
to further dynamic relaxation which is not captured in any eigenvalue-based
and thus static description. Indications for such effects have been
reported in the literature for small metal clusters,[119] and the response of a very delocalized orbital may be “metallic
like.” Overcoming this drawback, e.g., by examining more advanced
correlation functionals is, therefore, a challenge for future work.
More Complex Aromatic Heterocycles—Results
and Discussion
Encouraged by the overall success of theOT-RSH
approach for the
prototypical aromatic rings, we now turn to examining the performance
of theOT-RSH method for more complex organic molecules: terpyrimidinethiol
(3N-thiol) and copper phthalocyanine (CuPc)—see Figure 1b.Pyrimidinethiols such as 3N-thiol are known
to form self-assembled
monolayers (SAMs),[120] and they were shown
to display a number of interesting phenomena; e.g., they exhibit diode-type
current–voltage characteristics in molecular-scale electronic
devices.[66,121] In the context of 3N-thiolSAMs, some of
us have predicted theoretically that the electronic structure is significantly
altered due to collective electrostatic effects in the SAM, leading
to a localization of the frontier molecular orbitals and a concomitant
pronounced reduction in the HOMO–LUMO gap.[68] 3N-thiols were also suggested as SAMs to strongly reduce
or enhance the work function of an underlying metal.[67] These appealing findings render 3N-thiols an interesting
candidate for applications in organic and molecular electronics. 3N-thiols
are also interesting from a methodological perspective, as they pose
a serious challenge to semilocal KS schemes:[68] By means of SIC calculations analogous to the ones performed here,
it was shown that close-lying π and σ orbitals in the
outer-valence region of 3N-thiol have markedly different SIEs and,
as a consequence, are wrongly ordered in (semi)local DFT functionals
such as PBE. It was additionally found that theHeyd–Scuseria–Ernezerhof
(HSE) SR hybrid functional[122,123] to a large extent
reproduces theSIC corrections to thePBE outer-valence eigenvalues.
In HSE, theSR components are the same as in PBE0, but in the LR there
is no nonlocal exchange. From the photoemission spectroscopy point
of view, the behavior of HSE is known to be similar to that of conventional
hybrid functionals.[34,124−128]The above-mentioned findings are supported by the data in
Figure 6a, which
shows the shifted eigenvalue spectra of 3N-thiol,
i.e., aligning all
HOMO levels to zero, starting with the literature data[68] for PBE, SIC, and HSE. Here, we focus on the
range of ∼3 eV below the HOMO, which we have previously identified
for molecules of a similar size as a useful range of accuracy for
theRSH-derived eigenvalues.[58] Generally,
PBE tends to produce σ orbitals that are underbound owing to
significant SIE.[33,34,58,68] Because the HOMO obtained from PBE is of
σ nature, shifting according to its energy results in π
orbitals that appear to be overbound. TheSIC calculations (as above,
the spectrum is shown both “as calculated” and “stretched”)
correct theSIE and, as discussed above, strongly shift the σ
orbitals down in energy with respect to the π ones, leading
to extensive reordering of the eigenvalue spectrum. This effect also
applies to theHSE spectrum, which needs no stretching as it originates
from a GKS calculation. We additionally performed PBE0GKS calculations, also shown in Figure 6a,[129] and found an overall very good agreement with
theHSE spectrum and with the “stretched” SIC with an
average deviation of the shifted eigenvalues around ∼0.1 eV.
This is consistent with the above-mentioned findings, namely that
HSE is comparable to conventional hybrid functionals as far as photoemission
spectra are concerned.
Figure 6
(a) Shifted eigenvalue spectra of 3N-thiol as obtained
from different
theoretical schemes (see text for details). PBE, SIC, and HSE values
were taken from ref (68). For the OT-RSH calculations, the optimal γ value was 0.217
and 0.187 (in Bohr−1) for α = 0 and α
= 0.15, respectively. The absolute HOMO energy, in electronvolts,
is given at the top of each column. (b) Unshifted eigenvalue spectra
of the same system, as calculated from HSE, PBE0GKS, OT-RSH
calculations with the two different α values, and GW.
(a) Shifted eigenvalue spectra of 3N-thiol as obtained
from different
theoretical schemes (see text for details). PBE, SIC, and HSE values
were taken from ref (68). For theOT-RSH calculations, the optimal γ value was 0.217
and 0.187 (in Bohr−1) for α = 0 and α
= 0.15, respectively. The absolute HOMO energy, in electronvolts,
is given at the top of each column. (b) Unshifted eigenvalue spectra
of the same system, as calculated from HSE, PBE0GKS, OT-RSH
calculations with the two different α values, and GW.To the best of our knowledge,
an experimental PES spectrum of 3N-thiol
is not available in the literature. Therefore, we performed reference
GW calculations for which the (again shifted) eigenvalue spectrum
is also given in Figure 6a. As seen above for
the prototypical aromatic rings, the agreement of the shifted GW spectrum
with the shifted hybrid functional (PBE0 or HSE) spectrum is very
good. Some discrepancy is observed between ∼−2.0 to
∼−2.5 eV, but in this context it should be kept in mind
that here the plotted energy range is much smaller than for the aromatic
rings in Figures 4 and 5. In fact, in the present case, the errors do not exceed 0.2 eV,
which is within the expected level of agreement between the two methods
(vide supra). This confirms the conclusion drawn
already from the data of the “prototypical” molecules
that the partial correction of SIE and a “stretching”
of the spectrum are the essential effects of a hybrid functional.Despite the excellent agreement of the shifted conventional hybrid
(and stretched SIC) data with theGW results, the two differ by a
large rigid energy shift. This can be gleaned even from Figure 6a, where the HOMO eigenvalue obtained from each
method is given at the top of each column, but is made obvious by
Figure 6b, which shows unshifted spectra on an absolute energy scale. This discrepancy is removed
by theOT-RSH results, also shown in Figure 6a and b (again with two different choices of SR exact exchange—α
= 0 and α = 0.15—the motivation for this particular selection
of α values is discussed below). As with thesimpler systems,
the IPs deduced from our computed OT-RSH and GW eigenvalues are very
close in energy (∼0.2 eV) for both choices of α. Consequently,
theOT-RSH scheme produces quantitatively meaningful spectra also
on an absolute energy scale. This is in sharp contrast
to all other DFT methods presented in Figure 6.A remaining and important issue is the best choice for the
short-range
Fock-exchange fraction, α. In contrast to the case of the small
aromatic rings, where different choices for α have had no qualitative
effect and only a small quantitative effect, for the3N-thiol system
the differences between theOT-RSH spectra for the two choices of
α are more pronounced. As shown in Figure 6, these differences include qualitative deviations, e.g., a reordering
of the HOMO–3 and HOMO–4 orbitals. In particular, we
observe that, while the position of the π orbitals is similar
in both spectra, the σ orbitals are systematically underbound
in the α = 0 calculation, in comparison to the α = 0.15
or theGW calculations. The different dependence of π and σ
orbitals on α is underscored in Figure 7, which shows the dependence of orbital eigenvalues on α in
the entire range of α = 0 to 0.2, with the range-separation
parameter, γ, optimized individually for each choice of α.
We relate the underbinding of σ orbitals at small α to
the fact that the spatial extent of the σ and π orbitals
within the molecular plane is significantly different; i.e., the σ
orbitals are clearly more localized than π states and, therefore,
should suffer from a larger SIE.[68] The
finding that the agreement with our GW calculations is significantly
improved for α = 0.15 underscores that, as suggested in ref (58) and discussed in the Introduction, a fraction of Fock exchange in theSR together with full Fock exchange in the LR allows for a mitigation
of SIE and therefore a balanced treatment of differently localized
molecular orbitals, while retaining the correct absolute position
of the energy levels. In principle, a similar statement applies for
the small aromatic rings as well. However, there the difference in
degree of localization is not the same and, perhaps more importantly,
the energy differences between individual eigenvalues are much larger.
Therefore, the practical importance of α is smaller in the prototypical
small (hetero)cycles, as shown in Figure 4 and
in theSI.
Figure 7
Eigenvalues of 3N-thiol,
obtained from optimally tuned range-separated
hybrid (OT-RSH) calculations, as a function of the short-range exchange
fraction, α, with the optimal value of the range-separation
parameter, γopt (in Bohr–1) determined
for each choice of α.
Eigenvalues of 3N-thiol,
obtained from optimally tuned range-separated
hybrid (OT-RSH) calculations, as a function of the short-range exchange
fraction, α, with the optimal value of the range-separation
parameter, γopt (in Bohr–1) determined
for each choice of α.These considerations raise the question of whether an optimal
α
can be chosen a priori. Srebro and Autschbach[60] have suggested that it can be achieved by tuning
α. Specifically, they sought the value of α that minimizes
the curvature of the ideally piecewise-linear total energy versus
particle number curve for the addition and removal of one charge from
the neutral molecule. This was done while simultaneously determining
the optimal γ for each choice of α obtained from eq 4 (with i restricted to 0 and 1).
As discussed in ref (58), some of the present authors successfully employed a similar approach
to determine an optimal value of α also for the purpose of obtaining
an outer-valence eigenvalue spectra, but only if it also involved
the removal of a second electron. Specifically, αopt was found to equal 0.2 for PTCDA and NTCDA. This value agrees well
with the above considerations. Recently, Stein et al. established
a rigorous quantitative equality between deviations from piecewise
linearity and deviations from the IP theorem.[130] Therefore, one can equivalently seek α directly by
minimizing the target function J from eq 4 without an explicit consideration of fractional
densities. Indeed, if this procedure is applied to PTCDA and NTCDA,
the same optimal α value is found (see SI). Therefore, we discuss these two tuning procedures (by
piecewise linearity and by the IP theorem) together in the following.Indeed, in cases where an optimal α can be clearly identified,
several properties, including the eigenvalue spectrum, have been found
to be predicted satisfactorily.[58,60,131] However, in the case of 3N-thiol, we could not employ that strategy:
With i restricted to 0 and 1, a similar minimal value
of the target function J of eq 4 is obtained across a large range of α values: the residual J only changed by 0.01 eV from α = 0.00 to α
= 0.60, and no minimum of J occurred. Removal of
the second electron resulted in orbital reordering (see SI for more details).In the absence of
viable alternatives, a possible strategy would
be to resort to the generally recommended value[74] of α = 0.2, which indeed has been shown to yield
very good results, for the prototypes studied above as well as for
other systems.[59] This would also be the
case here; i.e., the MAD between the absolute eigenenergies from our
GW calculations and OT-RSH with α = 0.2, for the states shown
in Figure 7, is ∼0.1 eV. However, as
the3N-thiol results do depend more sensitively on α, it is
still interesting, if possible, to determine an optimal α value
from additional considerations. In this context, a useful practical
observation is that the shifted results of the conventional
hybrid functional PBE0 are in good agreement with experimental and/or
theoretical reference data for the systems discussed here, as well
as for many other cases.[35,58,59,132] Therefore, a pragmatic approach
would be to simply tune α so as to obtain agreement between
splitting of eigenvalues in theOT-RSH and in thePBE0 spectra. Specifically,
one should seek a balance in the relative description of delocalized
π and localized σ states. The easiest way to achieve that
is to tune α such that the π–σ energy difference
between the HOMO and HOMO–1 states is the same in theOT-RSH
and thePBE0GKS calculations. This allows us to obtain
the same useful level of SIE mitigation as in a conventional hybrid
functional, without the need for spectral shifting. It is this approach
which has led to the value of α = 0.15 for which the data shown
in Figure 6 have been obtained.Comparing
our unshifted GW and OT-RSH (α = 0.15) calculations
of Figure 6b, one, indeed, observes a very
good agreement between the two methods. The only clear difference
is some orbital reordering around ∼−10.8 eV. One should,
however, note that the eigenvalues clustered there are very close
in energy and that this reordering does not involve deviations greater
than ∼0.1 eV between corresponding eigenvalues of the two methods.
Overall, the MAD between theGW and OT-RSH (α = 0.15) calculations
is a satisfying ∼0.1 eV, with the largest deviation being ∼0.2
eV for the HOMO. For comparison, with OT-RSH (α = 0) the MAD
is ∼0.25 eV, with the largest deviation being ∼0.45
eV, where the reduced level of agreement is mostly due to the less
accurate description of the σ orbitals.Encouraged by
this further success, we now turn to an even more
complex system—copper phthalocyanine (CuPc—see Figure 1b). In molecular-solid form, CuPc is a highly stable
organic semiconductor with a broad range of applications, including
light-emitting diodes, solar cells, gas sensors, and thin-film transistors.[133] Owing to these applications, there is considerable
interest in investigating its electronic structure (see ref (69) and additional references
therein). In the present context, CuPc mainly serves as a test case
that poses several additional challenges for theOT-RSH method: First,
it is an open shell molecule (s = 1/2). Second, the
interaction between the d orbitals of thecopper atom and the s and
p orbitals of the embedding macrocycle result in a highly nontrivial
set of localized and delocalized orbitals—an issue elaborated
below.For theCuPc molecule, Marom et al. have previously established
that: (1) semilocal functionals, such as PBE, result in eigenvalue
spectra that are strongly distorted by severe SIE;[34] (2) these errors are mitigated substantially, though not
completely, by the use of hybrid functionals such as PBE0 or HSE;[34,69] (3) severe SIE distortions at the DFT level are partly carried over
to GW calculations building on the DFT densities.[69]To better understand the above claims, consider Figure 8a, which provides a scheme containing the computed
frontier eigenvalues and orbitals. We illustrate the severe SIE (claim
1) by considering several selected frontier orbitals. Whereas the a1 orbital and the doubly degenerate e orbitals are highly delocalized
on the macrocycle, thespin-split b1 orbitals are quite strongly localized around thecopper atom. Configuration 1 (left side of Figure 8a) was obtained from theOT-RSH calculations discussed below
but is equivalent to the one obtained from theGW calculations of
ref (69). It identifies
the delocalized a1 and e orbitals as the HOMO and
LUMO, respectively, and places thespin-split b1 and b1 orbitals as HOMO–1 and LUMO+1, respectively.
PBE calculations, however, predict configuration 2 (right side of
Figure 8a), in which thespin-split b1 and b1 are identified as HOMO and
LUMO, respectively. Clearly, the localized b1 orbital is spuriously pushed to
higher energies by theSIE, the effect being strong enough to make
the b1 orbital
become the HOMO. This forces the unoccupied b1 orbital to be spuriously shifted
to lower energies in order to maintain thespin-splitting symmetry,
to the point of it becoming the LUMO. PBE0 or HSE strongly mitigate
this error (claim 2) and yield configuration 1.
Figure 8
(a) Schematic diagram
of selected frontier eigenvalues and orbitals
for the CuPc molecule, as obtained from an OT-RSH calculation (configuration
1, left) and from a PBE calculation (configuration 2, right). (b)
OT-RSH charge-density differences between neutral and cation (left)
and LUMO of cation (right), obtained from the “open-shell singlet”
configuration of the CuPc cation, corresponding to ionization of netrual
configuration 1 (in green), and from the “closed-shell singlet”
configuration of the CuPc cation, corresponding to ionization of configuration
2 (in red). In the charge density difference plots, green or red (blue)
regions denote areas of electron density depletion (accumulation)
as a consequence of the ionization process.
(a) Schematic diagram
of selected frontier eigenvalues and orbitals
for theCuPc molecule, as obtained from an OT-RSH calculation (configuration
1, left) and from a PBE calculation (configuration 2, right). (b)
OT-RSH charge-density differences between neutral and cation (left)
and LUMO of cation (right), obtained from the “open-shell singlet”
configuration of theCuPc cation, corresponding to ionization of netrual
configuration 1 (in green), and from the “closed-shell singlet”
configuration of theCuPc cation, corresponding to ionization of configuration
2 (in red). In the charge density difference plots, green or red (blue)
regions denote areas of electron density depletion (accumulation)
as a consequence of theionization process.To understand the manifestation of theSIE (and its mitigation)
in thesimulated photoelectron data, spectra computed with different
computational methods are compared to experimental photoemission data
in Figure 9. Importantly, in this figure we
compare occupied-state eigenvalues to thegas-phase photoelectron
spectrum as before, but further compare unoccupied-state eigenvalues
to experimental inverse photoemission spectroscopy
(IPES). In IPES, photons are emitted from a sample due to its irradiation
with fixed-energy electrons, and the energy distribution of the emitted
photons is measured, yielding experimental information on virtual
states.[1] CuPc is the first system in this
article for which such comparison is possible, because for the small
aromatic rings the virtual states are unbound and because for 3N-thiol
no (regular or inverse) experimental PES data are available. In fact,
gas-phase inverse photoemission spectroscopy is nonexistent in general.
Therefore, the comparison is to experimental data obtained from thin
CuPc films. Due to polarization effects,[59,134,135] the electron affinity of a film
is much smaller than that of an isolated molecule, and the computed
empty state energies and the measured inverse photoemission spectroscopy
data can be compared only up to a rigid shift. Therefore, to allow
comparison to experimental results without modifying the computational
gas-phase data, the experimental IPES spectra were shifted so as to
align the lowest-energy peak with theGW spectrum shown at the topmost
computed spectrum in Figure 9.
Figure 9
Simulated DFT and GW
spectra (see text for details), obtained from
computed energy levels (shown as sticks) by broadening via convolution
with a 0.15-eV-wide Gaussian. PBE, PBE0, and GW data were taken from
ref (69). Theoretical
data are compared to the experimental gas phase photoemission data
of Evangelista et al.[141] and to the thin
film inverse photoemission data of (a) Murdey et al.[142] (shown with curve fitting results) and (b) Hill et al.[143] The experimental inverse photoemission spectra
were shifted so as to align the LUMO peak with the computed GW@PBE0
LUMO peak. On the OT-RSH data, optimal γ values are given in
Bohr–1. Eigenvalues corresponding to the e, a1, and b1 orbitals are designated by the same color scheme as in Figure 8.
Simulated DFT and GW
spectra (see text for details), obtained from
computed energy levels (shown as sticks) by broadening via convolution
with a 0.15-eV-wide Gaussian. PBE, PBE0, and GW data were taken from
ref (69). Theoretical
data are compared to the experimental gas phase photoemission data
of Evangelista et al.[141] and to the thin
film inverse photoemission data of (a) Murdey et al.[142] (shown with curve fitting results) and (b) Hill et al.[143] The experimental inverse photoemission spectra
were shifted so as to align the LUMO peak with the computed GW@PBE0
LUMO peak. On theOT-RSH data, optimal γ values are given in
Bohr–1. Eigenvalues corresponding to the e, a1, and b1 orbitals are designated by the same color scheme as in Figure 8.As discussed above, it
is well-known that for either PBE or PBE0
the HOMO and LUMO do not correspond to theionization potential or
the electron affinity, respectively (see, e.g., refs (26) and (32)). This causes an uncontrolled
rigid shift of thesimulated photoemission curve. To facilitate a
meaningful comparison also for these functionals, thePBE and PBE0
spectra of Figure 9 are additionally shown
in shifted form. To determine the required rigid shift, theionization
potential is computed as the total energy difference between the neutral
species and the cation, and the filled-state eigenvalue spectrum is
rigidly shifted such that the HOMO energy coincides with the computed
ionization potential. An equivalent procedure is applied to the unoccupied-state
eigenvalue spectrum, which is rigidly shifted such that the LUMO energy
coincides with the computed electron affinity. Comparison of thePBE-
and PBE0-based simulated spectra in Figure 9 (taken from ref (69)) with the experimental data reveals that whereas the shifted PBE
spectrum is in poor agreement with experiment for both filled and
empty states, the shifted PBE0 spectrum provides for a much improved
agreement with experimental results. This highlights both the severe
SIE in thePBE calculation and its mitigation by thePBE0 calculation.
Better agreement yet, including an accurate placement of thespin-split
filled b1 and
empty b1 orbitals,
is afforded by GW calculations of Marom et al.,[69] based on a PBE0 starting point. It is in significantly
better agreement with experimental results than their GW calculations
based on a PBE starting point (at least with the particular flavor
of GW used in ref (69), which, as discussed earlier, is different from the one we used
above for benzene, pyridine, and pyrimidine; we refrained from conducting
such GW calculations also for CuPc, because of the computational cost
involved). This improved description of the electronic structure of
CuPc by thePBE0 based GW calculations substantiates the third above
claim, i.e., the possible carry-over of severe SIE to theGW calculation.It is intriguing to determine how well theOT-RSH approach performs
in this more complicated scenario. As for the case of pyridine (see
Figure 2), it is important to choose the correct
cationic configuration for the tuning procedure. Two cationic configurations
can be obtained from theOT-RSH calculation. One is an “open
shell singlet,” with a single spin in the b1 orbital and in the a1 orbital, which corresponds to removal
of an electron from the a1 HOMO of configuration 1 in Figure 8a. Theother is a “closed-shell singlet” cation, which
corresponds to removal of an electron from the b1 HOMO of configuration 2 in Figure 8a. Importantly, only for the “open-shell
singlet” configuration (which is lower in total energy) is
the LUMO consistent with the character of the neutral HOMO, and with
the “hole density,” as shown in Figure 8b. Just like in thepyridine example of Figure 2, all tuning must be performed solely with this configuration.
We note that multiple stable configurations are well-known to occur
in metal-phthalocyanines,[132] which is why
we strongly stress the need for correct identification and usage of
compatible neutral and ionic configurations in the tuning procedure.[136]Having ascertained the validity of our
tuning procedure, we turn
to the spectra simulated using theOT-RSH method, also shown in Figure 9. As for the case of 3N-thiol, the obtained spectra
(second and fourth theoretical curves in the figure) are strongly
α-dependent. This is shown explicitly in Figure 10, which shows the dependence of orbital eigenvalues on α,
with the range-separation parameter, γ, again optimized individually
for each choice of α. It is particulary striking that the orbitals
most sensitive to α are the highly localized spin-split b1 pair, which is fully consistent
with our above discussion on the relation between orbital localization
and sensitivity to short-range Fock exchange. Unfortunately, here
direct tuning of α based on eq 4, even
with i = 0, 1, −1, was not useful because
the minimal value of the target function J was very
small and very weakly dependent on α within the numerical accuracy
of our work (see SI). Thus, while the
procedure of ref (58) did not fail, in the sense of providing an incorrect value for α,
it did not succeed either. Therefore, we determined α as for
the case of 3N-thiol, i.e., based on the success of the shifted PBE0
spectrum. As discussed above, a crucial aspect in the theoretical
description of theCuPc spectrum is the energy separation between
the delocalized a1 orbital
and the filled localized b1 orbital of Figure 8. Therefore, we
tune the value of α so as to agree with thePBE0-calculated
separation between the eigenvalues for the a1 and b1 orbitals. This yields α = 0.17, which is again close
to the “default” value of 0.2, further supporting the
latter as a useful choice even without any α-tuning. α
= 0.17 was then used to calculate the second theoretical curve in
Figure 9. It yields excellent agreement with
prior GW@PBE0 calculations (shown in the figure) and the experimental
data in both the top valence (i.e., occupied) states and the bottom
conduction (i.e., unoccupied) states. In particular, theOT-RSH alignment
of the a1, b1, and e states of Figure 8 agrees
very well with the prior GW calculations. As orbitals above and below
these frontier ones tend to be “clustered” for these
larger molecule, we do not discuss them individually. However, it
is clear that the agreement between GW and OT-RSH gradually deteriorates
as one goes further down or up in the valence or conduction states,
respectively. In particular, it appears that agreement of the lower
valence states with theGW results could be further assisted by some
“stretching” of the energy scale—an observation
consistent with the generally expected differences between nonlocal
exchange and self-energy operators,[3] as
well as with our general guideline of restricting our attention to
states within a few electronvolts of the frontier orbitals. Nevertheless,
in the absence of detailed orbital information, at the level of the
given experimental resolution, theOT-RSH results can be viewed as
agreeing with experimental results as well as theGW ones, possibly
even relatively deep into the valence band.
Figure 10
Eigenvalues of CuPc,
obtained from optimally tuned range-separated
hybrid (OT-RSH) calculations, as a function of the short-range exchange
fraction, α, with the optimal value of the range-separation
parameter, γopt (in Bohr–1), determined
for different choices of α.
Eigenvalues of CuPc,
obtained from optimally tuned range-separated
hybrid (OT-RSH) calculations, as a function of the short-range exchange
fraction, α, with the optimal value of the range-separation
parameter, γopt (in Bohr–1), determined
for different choices of α.As an additional observation, we note that the HOMO and LUMO
eigenvalues
obtained from theOT-RSH (α = 0.17) calculation (as is, without
any rigid shifting of the data) are in excellent agreement with the
lowest quasi-hole and quasi-electron excitations, respectively, obtained
from GW@PBE0. This is fully consistent with the work of Stein et al.,[52] who suggested that OT-RSH gaps can be identified
with quasi-particle gaps—an observation that has since been
confirmed for a large variety of systems by ourselves, as well as
by several other groups.[58,59,78,137−140] A related interesting observation is that theOT-RSH (α =
0) data are rather similar to theGW@PBE calculations from ref (69) (again, for that particular
flavor of GW): Both are far better than thePBE data, but in both
spectra, the a1–b1 and e–b1 separations are not large enough. This highlights yet again
the positive role of SR exchange in mitigating SIEs where they are
significant.[58]
Conclusions
In conclusion, we examined the performance of optimally tuned range-separated
hybrid functionals for predicting the photoemission spectra of several
challenging prototypical (benzene, pyridine, and pyrimidine) and complex
(3N-thiol and CuPc) (hetero)cyclic organic molecules. Overall, the
resulting spectra agree very well (typically within ∼0.1–0.2
eV) with experimental data and our GW calculations, even for states
several electronvolts away from the frontier orbitals. We performed
several additional hybrid DFT calculations in both theKS and GKS
schemes and found that the inclusion of a nonlocal operator strongly
benefits the calculated spectrum. Moreover, our SIC calculations confirmed
that self-interaction errors can be efficiently mitigated in OT-RSH
functionals, which shows that, with a PBE0-based optimal choice of
the short-range fraction of Fock exchange, theOT-RSH method can offer
an excellent balance in the description of localized and delocalized
states. The sole exception found in the studied systems is a high-symmetry
orbital, particular to small aromatic rings. We conclude that theOT-RSH method is a highly accurate DFT method for outer-valence PES
prediction for such systems, and its accuracy is comparable to state-of-the-art
GW schemes. This success comes at the price of increased computational
and conceptual cost that is inherent to the parameter tuning. While
this increase in effort is notable compared to standard, nontuned
DFT calculations, it is not overwhelming and still lower than the
cost of a GW calculation.
Authors: Yihan Shao; Laszlo Fusti Molnar; Yousung Jung; Jörg Kussmann; Christian Ochsenfeld; Shawn T Brown; Andrew T B Gilbert; Lyudmila V Slipchenko; Sergey V Levchenko; Darragh P O'Neill; Robert A DiStasio; Rohini C Lochan; Tao Wang; Gregory J O Beran; Nicholas A Besley; John M Herbert; Ching Yeh Lin; Troy Van Voorhis; Siu Hung Chien; Alex Sodt; Ryan P Steele; Vitaly A Rassolov; Paul E Maslen; Prakashan P Korambath; Ross D Adamson; Brian Austin; Jon Baker; Edward F C Byrd; Holger Dachsel; Robert J Doerksen; Andreas Dreuw; Barry D Dunietz; Anthony D Dutoi; Thomas R Furlani; Steven R Gwaltney; Andreas Heyden; So Hirata; Chao-Ping Hsu; Gary Kedziora; Rustam Z Khalliulin; Phil Klunzinger; Aaron M Lee; Michael S Lee; Wanzhen Liang; Itay Lotan; Nikhil Nair; Baron Peters; Emil I Proynov; Piotr A Pieniazek; Young Min Rhee; Jim Ritchie; Edina Rosta; C David Sherrill; Andrew C Simmonett; Joseph E Subotnik; H Lee Woodcock; Weimin Zhang; Alexis T Bell; Arup K Chakraborty; Daniel M Chipman; Frerich J Keil; Arieh Warshel; Warren J Hehre; Henry F Schaefer; Jing Kong; Anna I Krylov; Peter M W Gill; Martin Head-Gordon Journal: Phys Chem Chem Phys Date: 2006-06-12 Impact factor: 3.676
Authors: Dahvyd Wing; Guy Ohad; Jonah B Haber; Marina R Filip; Stephen E Gant; Jeffrey B Neaton; Leeor Kronik Journal: Proc Natl Acad Sci U S A Date: 2021-08-24 Impact factor: 11.205