On the performance of long-range-corrected density functional theory and reduced-size polarized...
Transcript of On the performance of long-range-corrected density functional theory and reduced-size polarized...
On the Performance of Long-Range-Corrected DensityFunctional Theory and Reduced-Size Polarized LPol-nBasis Sets in Computations of Electric Dipole(Hyper)Polarizabilities of p-Conjugated Molecules
Angelika Baranowska-Ła� czkowska,*[a] Wojciech Bartkowiak,[b] Robert W. G�ora,[b]
Filip Pawłowski,[a] and Robert Zale�sny*[b]
Static longitudinal electric dipole (hyper)polarizabilities are
calculated for six medium-sized p-conjugated organic
molecules using recently developed LPol-n basis set family
to assess their performance. Dunning’s correlation-consistent
basis sets of triple-f quality combined with MP2 method
and supported by CCSD(T)/aug-cc-pVDZ results are used to
obtain the reference values of analyzed properties. The
same reference is used to analyze (hyper)polarizabilities
predicted by selected exchange-correlation functionals,
particularly those asymptotically corrected. VC 2012 Wiley
Periodicals, Inc.
DOI: 10.1002/jcc.23197
Introduction
Progress in quantum chemistry algorithms, accompanied by
rapid development of computer resources, provides nowadays
the community of theoretical chemists with very efficient tools
to accurately predict electric properties of molecules. The use of
highly correlated methods combined with flexible, sufficiently
diffuse set of basis functions is highly recommended in theoreti-
cal investigations aiming at the accurate evaluation of electric
properties, especially in the case of nonlinear optical effects.
Among the most popular basis sets used in calculations of elec-
tric properties of isolated molecules and their complexes are the
multiply augmented correlation consistent polarized valence
multiple-f x-aug-cc-pVXZ basis sets of Dunning and co-
workers,[1–3] widely known for the high accuracy of results they
yield, particularly when used in Coupled Cluster (CC) or other
elaborate treatments of electron correlation.[4–7] However, the
use of the larger augmented correlation consistent sets in the
CC electric property calculations is still limited to small and me-
dium-sized systems due to high computing cost of those meth-
ods, scaling with the number of basis functions N as N6–N7.
Thus, for larger systems one can either use the Kohn–Sham
formulation of the density functional theory (KS-DFT), or use
the so-called property-oriented medium-sized basis sets, opti-
mized for calculation of a given type of properties. Although
the primary advantage of using these two approaches is the
obvious and often substantial decrease of computing cost, the
most striking risk is a possible deterioration in the accuracy of
results. Careful selection of methods and basis sets is thus nec-
essary to avoid large errors in the computed values.
A number of reduced-size as well as large property-oriented
basis sets is reported in the literature, to name a few, let us
mention the works by Maroulis and coworkers,[8–13] and
Rappoport and Furche[14] (see also the review article by David-
son and Feller[15]). Another group of property-oriented basis
sets is the Pol sets family developed by Sadlej and co-
workers,[16–23] and designed for accurate or moderately accu-
rate description of systems in external static or dynamic elec-
tric fields. In this project, we investigate the performance of
Møller-Plesset second-order perturbation theory (MP2), and
most common exchange-correlation functionals used within
the KS-DFT framework, in combination with the recently devel-
oped polarized LPol-n (n¼ds, dl) basis sets,[23] belonging to
the Pol family of property-oriented basis sets. The performance
of the above methods is addressed by comparison to the
CCSD and CCSD(T) estimates, whereas the results produced by
LPol-n sets are compared with those obtained using aug-cc-
pVXZ sets (X¼D,T).
In contrast to the Dunning sets, in which the diffuse func-
tions are optimized for negative ions, the LPol-n sets are
derived considering an explicit field dependence of Gaussian
type orbitals resulting in the property-adapted field-independ-
ent basis functions. Our earlier studies revealed that the LPol-n
sets can compete with the larger all-purpose Dunning’s basis
sets in the accuracy of determined static and dynamic
[a] A. Baranowska-Ła� czkowska, F. Pawłowski
Institute of Physics, Kazimierz Wielki University, Plac Weyssenhoffa 11,
PL–85072 Bydgoszcz, Poland
[b] W. Bartkowiak, R. W. G�ora, R. Zale�sny
Theoretical Chemistry Group, Institute of Physical and Theoretical Chemistry,
Wrocław University of Technology, Wyb. Wyspia�nskiego 27, PL–50370
Wrocław, Poland
E-mail: [email protected] or [email protected]
Contract grant sponsor: Foundation for Polish Science; contract grant
number: Homing Plus/2010-1/2
Contract grant sponsor: National Science Centre; contract grant
number: DEC-2011/01/D/ST4/03149.
VC 2012 Wiley Periodicals, Inc.
Journal of Computational Chemistry 2013, 34, 819–826 819
FULL PAPERWWW.C-CHEM.ORG
(non)linear electric and optical properties of isolated mole-
cules,[23–25] as well as linear and nonlinear interaction-induced
electric properties of hydrogen-bonded complexes.[26,27] For
instance, the calculations performed for linear HCHO…(HF)p (p
¼ 1–9) complexes, carried out within the finite field HF SCF,
MP2, CCSD, and CCSD(T) approximations, indicated an excel-
lent overall performance of the LPol-n sets.[26] It was achieved
using relatively compact polarized sets, resulting in significant
reduction of the computing time and virtually without any no-
ticeable deterioration of the results. The LPol-n sets were also
used in the evaluation of interaction-induced electric proper-
ties of linear (HCN)q (q ¼ 2–4) complexes within the aforemen-
tioned approximations.[27] Among the conclusions of that
work were the following: The basis set superposition error was
negligible at all employed levels of theory for all the LPol-n
sets, and already the smallest among them (LPol-ds) gave reli-
able estimations of the interaction-induced dipole moments,
linear polarizabilities, and first hyperpolarizabilities of the inves-
tigated complexes. Only recently, the LPol-n sets have been
successfully used in the evaluation of the interaction-induced
electric properties in CO–Ne complex.[28] The LPol-n and modi-
fied LPol-n (MLPol-n) basis sets were also shown to correctly
describe interaction energies in small van der Waals com-
plexes.[29,30] However, so far the applications of LPol-n sets
were limited to relatively small molecules and complexes.
Hence, the primary aim of this study is to further analyze their
performance in computing the static electric dipole (hyper)po-
larizabilities of medium-sized p–conjugated organic molecules.
As it was mentioned earlier, the use of KS-DFT in calcula-
tions of electric dipole (hyper)polarizabilities often results in
significant deterioration of the accuracy (particularly in the
case of hyperpolarizabilities). Indeed, as it was shown over a
decade ago by Champagne et al., most of the exchange-corre-
lation functionals available at that time were unable to quanti-
tatively predict the response of electronic density to electric
field perturbation.[31–33] This erroneous behavior, often referred
to as the DFT overshoot problem, stems from the so-called
self-interaction error. Within the Hartree-Fock theory, the spuri-
ous Coulomb interaction in one-electron system is perfectly
canceled by the corresponding exchange integral; the same is
not true, however, in the case of DFT due to an approximate
form of exchange-correlation functional. A partial remedy to
this problem is to include the exact Hartree–Fock exchange
potential at long range. Functionals augmented in this way
belong to the long-range corrected (LC) class of exchange-cor-
relation functionals.[34–36] Preliminary results, including those
published by some of us, show in some cases a significant
improvement over conventional exchange-correlation function-
als as far as electronic (hyper)polarizabilities are concerned
(both resonant and nonresonant).[37–39] Although the elec-
tronic contributions to resonant and nonresonant (hyper)polar-
izabilities have been studied extensively using LC-DFT,[38,40–46]
more numerical data are required to draw general conclusions,
as the improvement brought by the use of the long-range cor-
rection varies from system to system. In this study, we use the
recently developed LPol-n basis sets using several levels of
theoretical approximations including post-HF methods (MP2,
CCSD) with an emphasis on the LC-DFT performance. The lat-
ter approach, in conjunction with the property-oriented basis
sets, might constitute a promising alternative to methods hav-
ing their roots in the wavefunction theory.
Methodology
In the presence of the static uniform external electric field (E),
the a Cartesian component of the total molecular dipole
moment (la) may be expressed as a Taylor series:
la ¼ l0a þ
Xb
aabð0; 0ÞEb þ1
2!
Xbc
babcð0; 0; 0ÞEbEc
þ 1
3!
Xbcd
cabcdð0; 0; 0; 0ÞEbEcEd þ… ð1Þ
where l0a is the a component of dipole moment, aab(0;0),
babc(0;0,0), and cabcd(0;0,0,0) are the frequency-independent
components of linear polarizability, the first hyperpolarizability
and the second hyperpolarizability, respectively. In this study,
we compute only the diagonal components of a, b, and c ten-
sors for molecules presented in Figure 1. Their geometries
were optimized at the MP2/cc-pVTZ level of theory (the final
RMS gradient was below 10�5 Hartree/Bohr) and oriented in
such a way that the dipole moment vector was set parallel to
Cartesian z-axis (cf. Fig. 1).
In calculations of electric properties, we consider only the
response of electron density and neglect the effects arising
from a change of geometry in the presence of external electric
field. The electronic contribution to the (hyper)polarizabilities
was evaluated fully numerically based on the differentiation of
the energy or dipole moment with respect to an external elec-
tric field using the Rutishauser–Romberg procedure to remove
contaminations from higher order derivatives.[47,48]
The set of functionals selected for this study includes the
generalized gradient approximation (GGA) BLYP; hybrid
Figure 1. Structure of studied molecules and their orientation in Cartesian
coordinate system. Brown, red, blue and white color represents carbon, ox-
ygen, nitrogen and hydrogen atoms, respectively.
FULL PAPER WWW.C-CHEM.ORG
820 Journal of Computational Chemistry 2013, 34, 819–826 WWW.CHEMISTRYVIEWS.COM
B3LYP,[49] and the LC functionals: CAM-B3LYP,[50] LC-xPBE,[51,52]
and LC-BLYP.[34] This set was also augmented with hybrid
meta-GGA M06-2X functional proposed by Truhlar et al.[53] The
numerical integrations during DFT calculations were done
using a pruned (99,590) point grid. The SCF convergence was
set at 10�11 on the RMS of the density matrix. Frozen-core
approximation was assumed in all post-Hartree–Fock calcula-
tions. We have used two basis set families: Dunning’s correla-
tion-consistent basis sets up to triple-f quality[1,2] as well as
recently developed LPol-ds and LPol-dl basis sets.[23]
All calculations were performed with the Gaussian suite of
programs (using default definitions of functionals including
those asymptotically corrected),[54] the Gamess US[55] and the
Molcas package.[56–58]
Results and Discussion
All molecules studied in this work, presented in Figure 1, were
the subject of an earlier study by Bishop et al.[59] The authors
chosen this set of molecules to validate predictions of the
two-state valence-bond charge-transfer model. 1-formyl-6-
hydroxy-1,3,5-triene (in Fig. 1 labeled as 1) and 1,1-diamino-
6,6-dinitrohexa-1,3,5-triene (3) are valence structures, whereas
1-ammoniohexa-1,3,5-triene-6-carboxylate (2) is an example of
charge-transfer molecule. The remaining molecules: 4,4-(p-
methylpirydyl)-1,1-dicyano-1,3-butadiene, 4-methylpyridone,
and 4-nitroaniline (4–6, respectively) are also of the valence
character, but they contain an aromatic
ring and hence constitute a different
group of molecules than 1 and 3. The
whole set covers a broad range of bond
length alternation (BLA) patterns which,
as it was shown by many authors, deter-
mines to a large extent the sign and
magnitude of nonlinear optical response
of p-conjugated compounds. In fact,
intentional changes of BLA by rational
choice of donor and acceptor groups
were often a common route to maximize
first and second hyperpolarizabilities[60,61]
or even two-photon absorption cross-
section.[62] The electron correlation
effects will have different impact on the
magnitudes of electric dipole (hyper)po-
larizabilities of covalent and charge-
transfer structures. This is the rationale
behind using the molecules in question as guinea pigs for
assessment of the performance of recently proposed exchange-
correlation functionals and LPol basis sets. It is a priori known
that DFT will not perform equally well for all the studied sys-
tems. However, our aim is to put this assumption on the quan-
titative basis. The CC approach with single and double excita-
tions (CCSD) is the reference method used for assessment
purposes. In some instances, we also estimated the perturbative
correction for triple excitations. To validate the adequacy of sin-
gle-reference wavefunctions used in electronic structure calcula-
tions, we computed the s1 diagnostic: [63,64]
s1 ¼ffiffiffiffiffiffiffiffiffiffiffit1 � t1
Ncorr
r; (2)
where t1 is the vector of the coupled-cluster single-excitation
amplitudes and Ncorr is the number of correlated electrons. In
all instances, we obtained the value of s1 below 0.02 what
indicates reliability of single-reference post-Hartree–Fock meth-
ods used in this study.
It follows from recent studies that the BLA in (quasi)linear
p–conjugated chains may be satisfactorily predicted by the
CAM-B3LYP functional.[65,66] To check to what extent our con-
clusions might be affected by the choice of the set of geome-
tries, we have performed an additional geometry optimization
of molecule 3. It follows from Table 1 that despite the changes
in property values due to differences in geometry (MP2 vs.
CAM-B3LYP), the trend is the same in both cases. It should not
be overlooked that one of possible sources of differences in
property values in Table 1 is due to orientation convention
[molecules are rotated in such a way that the total dipole
moment (both geometry and l are determined at the very
same level of theory) is parallel to cartesian z-axis]. In what fol-
lows, we use a set of geometries optimized at the MP2/
cc-pVTZ level of theory.
The data presented in Table 2 confirm that the electron cor-
relation effects are substantial for all the studied molecules.
They are particularly reflected in large changes of first and
Table 1. Diagonal components of electric dipole (hyper)polarizabilities
of system 3 computed at two different geometries.
CAM-B3LYP geometry MP2 geometry
CAM-B3LYP B3LYP CAM-B3LYP B3LYP
azz 354 363 347 360
bzzz �3023 �2056 �4096 �3138
All property values were determined using the aug-cc-pVDZ basis sets.
All values are given in atomic units.
Table 2. Diagonal components of electric dipole (hyper)polarizabilities of systems 1–6 computed
at various levels of theoretical approximation using the aug-cc-pVDZ basis set.
1 2 3 4 5 6
azz
RHF 246.77 250.94 308.09 363.38 115.71 131.53
MP2 235.65 280.22 360.44 402.09 121.29 146.17
CCSD 225.50 273.15 340.33 393.69 121.34 139.77
CCSD(T) 228.21 282.50 344.69 394.89 122.56 143.24
bzzz
RHF �1166.0 2347.8 �2132.8 6 1 2629.3 312.7 �878.7
MP2 �3917.1 6 1 5652.9 6 1 �8481.6 6 1 �3147.0 6 1 93.7 �1433.6
CCSD �3345.4 6 12 6786.6 6 2 �9615.2 6 22 �4697.4 6 7 121.8 6 2 �1299.7 6 2
CCSD(T) �3419.8 6 9 7593.5 6 1 �10859.2 6 17 �6053.9 6 6 100.8 6 2 �1448.9 6 3
czzzz � 10�3
RHF 128 134 114 �76 6 1 14 62
MP2 414 239 271 6 2 �589 6 1 17 121 6 1
CCSD 428 6 9 429 6 2 704 6 46 �407 6 1 15 114 6 1
CCSD(T) 470 6 9 542 6 2 963 6 98 �268 6 1 18 134 6 2
All values are given in atomic units.
FULL PAPERWWW.C-CHEM.ORG
Journal of Computational Chemistry 2013, 34, 819–826 821
second hyperpolarizabilities on passing from the HF to the
MP2 method. More accurate treatment of electron correlation
in CCSD and CCSD(T) methods leads to relatively small
changes of linear polarizability of the studied compounds.
However, in the case of hyperpolarizabilities, the changes are
much more significant. These findings bring no surprise because
already in the seminal paper of Sim et al.[67]on para–nitroaniline
(pNA, 6), the authors observed large increase of b value on
including the electron correlation effects. More recently, Ham-
mond and Kowalski[7] reported the coupled-cluster response
theory (CCSD/aug-cc-pVDZ) estimate of 1659.6 au for longitudi-
nal first hyperpolarizability of pNA (of Cs symmetry) which could
be compared to our finite-field estimate of 130062 au. One
should note, however, that different geometries were used, and
orbitals were relaxed in our calculations.[7] Schematic represen-
tation of the influence of electron correlation effects on the
properties is presented in Figure 2. Downwards and upwards
arrows represent the decrease and increase of property values,
respectively. It follows from this figure that electron correlation
effects are included in not particularly systematic manner, and
in majority of cases have different effect on a, b, and c. For
example, on passing from CCSD to CCSD(T) (arrows on the
right), we see the increase of a, b, and c of 3 but the same is
not true in case of 4. The only molecule for which the same
pattern holds in case of all properties is the one denoted as 6.
Perhaps, the most striking feature is the sign reversal of first
hyperpolarizability of compound 4 when using post-HF
Figure 2. Schematic representation of the influence of electron correlation
effects on electric dipole (hyper)polarizabilities (a, b, c) of molecules 1–6.
Left, middle and right arrows represent change in the absolute property
value on passing from HF to MP2, from MP2 to CCSD, and from CCSD to
CCSD(T) level of theory, respectively. [Color figure can be viewed in the
online issue, which is available at wileyonlinelibrary.com.]
Table 3. Diagonal components of electric dipole (hyper)polarizabilities of systems 1–6 computed at various levels of theoretical approximation using
the aug-cc-pVTZ basis set.
1 2 3 4 5 6
azz
RHF 247.12 251.59 307.97 363.80 115.70 131.79
(246.82) (251.55) (308.39 6 0.01) � (115.68) (132.00)
MP2 236.03 281.40 360.41 402.43 121.31 146.68
(235.88) (281.47) (360.93 6 0.04) � (121.57) (146.84)
B3LYP 270.75 290.21 359.50 382.79 121.59 154.44
CAM-B3LYP 258.16 277.40 346.95 379.84 120.06 146.41
BLYP 283.83 – 378.12 391.15 125.06 164.69
LC-BLYP 244.30 264.03 333.23 376.58 118.37 139.06
M06–2X 253.23 273.03 343.15 378.10 119.45 144.56
LC-xPBE 244.89 267.10 334.45 376.04 117.89 139.49
bzzz
RHF �1131.2 2336.7 �2043.0 2645.2 6 0.5 311.7 �858.0
(�1165.3 6 0.1) (2360.7 6 0.7) (�2122.8 6 1.7) – (308.6 6 0.6) (�868.8 6 0.2)
MP2 �3880.5 6 0.2 5638.3 �8349.6 6 0.8 �3190.9 6 0.7 84.6 �1403.8 6 0.6
(�3930.6 6 0.3) (5694.1 6 6.5) (�8518.2 6 4.9) – (83.7 6 1.7) (�1416.9 6 0.2)
B3LYP �2230.5 4288 6 1 �3137.7 1623.6 253.0 �1571.8
CAM�B3LYP �2341.5 3401.0 �4096.5 6 0.6 1127.5 206.4 �1330.7
BLYP �2197.8 – �2425.5 6 0.1 1883.3 298.2 �1769.2
LC-BLYP �2299.8 6 0.2 3599.9 6 0.8 �4992.4 6 0.2 354.2 6 0.4 173.3 �1146.5
M06–2X �2411.3 3568.4 �4235.8 767.3 210.2 �1237.0
LC-xPBE �2413.7 3668.1 6 0.9 �5065.6 6 0.7 237.0 6 0.3 150.7 6 0.4 �1135.4 6 0.2
czzzz � 10�3
RHF 128 141 115 6 1 �70 15 63
(132) (144 6 3) (121 6 3) – (17) 65
MP2 413 246 6 1 266 6 2 �588 6 1 19 122
(422) (259 6 2) (319 6 64) – (22 6 1) (127 6 1)
B3LYP 202 1228 6 56 69 75 35 109
CAM-B3LYP 238 205 6 2 103 �68 25 100
BLYP 181 – 105 199 55 110
LC-BLYP 253 174 188 �212 6 1 17 88
M06–2X 249 200 88 �80 22 93
LC-xPBE 262 174 6 2 185 �204 17 86
LPol-ds values given in parentheses. All values are given in atomic units.
FULL PAPER WWW.C-CHEM.ORG
822 Journal of Computational Chemistry 2013, 34, 819–826 WWW.CHEMISTRYVIEWS.COM
methods. Due to the substantial electron correlation effects,
one should expect that 4 will be a challenge for most conven-
tional exchange-correlation functionals. Indeed, none of the
chosen functionals is able to reproduce the sign of first hyper-
polarizability of 4 (cf. Table 3). Slightly better performance of
the long-range-corrected functionals is observed for this mole-
cule in the case of longitudinal component of c. A comparison
of the values of second hyperpolarizability of 4 computed
using the aug-cc-pVDZ and the aug-cc-pVTZ basis sets shows
only insignificant differences between the two. Thus, the value
obtained using the CCSD(T)/aug-cc-pVDZ method is our best
estimate of czzzz for molecule 4. It follows from Tables 2 and 3
that both LC-xPBE and LC-BLYP underestimate this property
roughly by 50%. Consequently, similarly to short polymethinei-
mine oligomers,[68] we identify molecule denoted as 4 as par-
ticularly challenging for the DFT.
In the case of other studied molecules, the sign of bzzz and
czzzz is reproduced by all employed exchange-correlation func-
tionals. However, the quantitative differences are large, and it
is difficult to draw any general conclusions considering the
magnitudes of bzzz and czzzz determined using various
exchange-correlation functionals. The relative unsigned errors
with respect to the CCSD(T)/aug-cc-pVDZ reference (d [%] ¼[(P�PCCSD(T))/(PCCSD(T))]�100%, where P¼azz, bzzz, czzzz) are pre-
sented for all molecules in Figure 3. It follows from this figure
that the smallest errors are obtained for LC-BLYP and LC-wPBE.
In the case of 1–3, the long-range-corrected functionals bring
some improvement which, on the other hand, is very system
dependent. Moreover, their performance is not equal in the
case of bzzz and czzzz. All molecules studied here are medium-
sized, but 5 and 6 are the smallest in the whole set. Therefore,
one should not expect a substantial improvement on using
the LC functionals in comparison to their conventional coun-
terparts for these systems. However, the data reported in Table
3 show the opposite. For instance, one finds rather significant
changes in bzzz and czzzz values for 5 on passing from the BLYP
to LC-BLYP functional, and the latter predicts czzzz value quite
close to our best estimate (CCSD(T)/LPol-ds, cf. Table 4).
We now turn our attention to the basis set extension
effects. Considering the differences between the MP2 results
obtained in the aug-cc-pVDZ and the aug-cc-pVTZ basis sets,
increase of the basis set cardinal number X from D to T practi-
cally does not affect the linear polarizabilities. The correspond-
ing differences are well below 1% for all investigated systems.
Although in the case of first and second hyperpolarizabilities,
this change is slightly larger (about 1–2%), only for system 5 it
is approaching 10%, and the aug-cc-pVDZ basis set can be
safely recommended for semiquantitative estimation of molec-
ular linear polarizabilities. Conversely, some caution has to be
taken when using it in evaluation of nonlinear properties.
Hence, whenever high accuracy of results is needed, it is rec-
ommended to use basis set of at least the aug-cc-pVTZ quality.
The effect of double augmentation with diffuse function has
also been studied for molecule 5 at the MP2 level of theory.
The changes in diagonal components of azz, bzzz, and czzzz on
passing from aug-cc-pVDZ to d-aug-cc-pVDZ are 0.3, 7, and
27%, respectively. Although in case of first and second hyper-
polarizability the differences are non-negligible, one should
not overlook that (i) even for medium-sized molecules, such
diffuse basis set leads to convergence problems, (ii) this effect
is expected to be far less pronounced for basis sets containing
higher angular momentum atomic orbitals.
Performance of the LPol-ds and -dl basis sets is considered
on the basis of the results presented in Tables 3 and 4. Missing
data in Table 3 are due to the difficulties in obtaining
Figure 3. Relative unsigned error in linear polarizability (top), first (middle)
and second hyperpolarizability (bottom) (d [%] ¼ ((P�PCCSD(T))/
(PCCSD(T)))�100%, where P¼azz, bzzz,czzzz, respectively) with respect to the
CCSD(T)/aug-cc-pVDZ reference. The plot is based on the data presented
in Table 2.
FULL PAPERWWW.C-CHEM.ORG
Journal of Computational Chemistry 2013, 34, 819–826 823
numerically stable solutions of the Hartree-Fock and Kohn-
Sham equations. As the LPol-ds and LPol-dl results are very
close to each other in all cases, we present here mostly the
values obtained in the smaller LPol-ds set. At the MP2 level of
approximation, the agreement of the longitudinal electric
polarizability azz values obtained in LPol sets with those
yielded by the aug-cc-pVTZ basis set is excellent for all sys-
tems, with relative differences well below 0.5%. However, as it
was already mentioned, for this property already the aug-
cc-pVDZ basis set proves to be a reasonable choice for semi-
quantitative predictions at the MP2 level. The LPol-ds performs
better than aug-cc-pVDZ set in the case of molecules 1, 2, and
6, whereas aug-cc-pVDZ is closer to the aug-cc-pVTZ reference
results for systems 3 and 5. Regarding the first hyperpolariz-
ability bzzz, the LPol-ds and aug-cc-pVDZ perform practically
equally well for molecules 1, 2, 3, and 6. However, for system
5, the corresponding improvement on going from aug-cc-
pVDZ to LPol-ds basis set is indeed substantial, with the error
in the order of 1% in the case of the LPol-ds set versus over
10% in the case of aug-cc-pVDZ result. The use of LPol-dl set
leads in system 6 to a similar agreement with the aug-cc-pVTZ
result (differences below 2%).
In the case of second hyperpolarizability czzzz, the MP2/LPol-
ds approximation produces results about 2–5% (15–20%) dif-
ferent from the corresponding aug-cc-pVTZ values for systems
1, 2, and 6 (systems 3 and 5). However, it has to be noticed
that the aug-cc-pVTZ results are probably still far from the ba-
sis set limit, and for a complete discussion of the performance
of LPol-n sets results obtained in larger, possibly multiply-aug-
mented, correlation consistent basis sets are required. As could
be anticipated, in the case of RHF and DFT methods similar
conclusions are drawn; however, for DFT method the choice of
basis set is much less important than the appropriate choice
of exchange correlation functional, which can be critical even
for qualitative predictions. Finally, we would like to point out
that, considering the above observations, the CCSD(T)/LPol-ds
results reported for system 5, in particular the longitudinal lin-
ear polarizability and first hyperpolarizability, are at present
the most accurate results reported for this molecule.
Conclusions
The present contribution reports on the results of calcula-
tions of electric dipole (hyper)polarizabilities of several me-
dium-sized organic p-conjugated molecules using the recently
developed LPol family of basis sets. To test their perform-
ance, Dunning’s correlation-consistent basis set of triple-fquality is used. The most important observations regarding
the assessment of LPol basis sets can be summarized as fol-
lows. The LPol-ds and LPol-dl basis sets yield results very
close to each other, and thus the natural choice for routine
calculations is the smaller LPol-ds set. The longitudinal com-
ponents of linear polarizabilities obtained using the LPol-ds
set are in excellent agreement with the aug-cc-pVTZ values
for all studied molecules and at all considered levels of
approximation. The LPol-ds values of the axial components of
first hyperpolarizabilities are also close to those obtained
with the larger aug-cc-pVTZ basis set, and in the case of 4-
methylpyridone (5) a substantial improvement of the result is
observed when passing from the aug-cc-pVDZ to the LPol-ds
basis set. Considering the second hyperpolarizability, the
results obtained with LPol-ds set are in a slightly worse
agreement with aug-cc-pVTZ estimates, however, it has to be
stressed that due to a slow saturation of angular correlation
for this property, the aug-cc-pVTZ values might be still quite
far from the basis set limit.
As a part of this study, we have also tested the quality of
hyperpolarizabilities predicted by several exchange-correlation
functionals against the values obtained at the state-of-the-art
CCSD and CCSD(T) methods. As it turns out, there is no gen-
eral trend neither in the case of first nor in the case of second
hyperpolarizability; the employed functionals either underesti-
mate or overestimate (often dramatically) the properties in
question. Long-range-corrected exchange-correlation function-
als bring some improvement; however, their performance
depends strongly on the studied system. One of the molecules
in the investigated set has been found to be particularly chal-
lenging for the employed functionals as none of them has
been successful in predicting even the correct sign of first and
second hyperpolarizabilities. As far as nonlinear electric dipole
properties are concerned, this proves that even in the case of
medium-sized molecules, LC-DFT does not appear to predict
Table 4. Diagonal components of electric dipole (hyper)polarizabilities
of systems 1–6 computed at various levels of theoretical approximation
using the LPol-ds and LPol-dl basis sets.
azz bzzz czzzz � 10�3
5
RHF/LPol-ds 115.68 308.6 6 0.6 17
MP2/LPol-ds 121.57 83.7 6 1.7 22 6 1
CCSD/LPol-ds 121.40 110.1 6 1.3 19 6 1
CCSD(T)/LPol-ds 122.73 81.7 6 1.6 22 6 1
BLYP/LPol-ds 125.07 297.9 59
LC-BLYP/LPol-ds 118.33 171.5 18
B3LYP/LPol-ds 121.57 252.4 38
CAM-B3LYP/LPol-ds 120.03 204.3 27
M06–2X/LPol-ds 119.61 205.9 25
LC-xPBE/LPol-ds 117.79 147.8 18
RHF/LPol-dl 115.66 311.6 6 0.4 17
MP2/LPol-dl 121.59 86.1 6 1 21
BLYP/LPol-dl 124.99 303.0 59
LC-BLYP/LPol-dl 118.27 173.7 18
B3LYP/LPol-dl 121.51 256.0 38
CAM-B3LYP/LPol-dl 119.97 207.5 27
M06–2X/LPol-dl 119.61 209.3 25
LC-xPBE/LPol-dl 117.77 151.3 18
6
RHF/LPol-ds 132.00 �868.8 6 0.2 65
MP2/LPol-ds 146.84 �1416.9 6 0.2 127 6 1
BLYP/LPol-ds 165.03 �1773.3 114
LC-BLYP/LPol-ds 139.25 �1157.6 90
B3LYP/LPol-ds 154.75 �1581.2 112
CAM-B3LYP/LPol-ds 146.65 �1341.5 103
M06–2X/LPol-ds 144.66 �1251.4 97
LC-xPBE/LPol-ds 139.64 �1148.2 88
RHF/LPol-dl 131.97 �868.7 66 6 1
MP2/LPol-dl 146.83 �1413.6 6 0.1 127 6 1
All values are given in atomic units.
FULL PAPER WWW.C-CHEM.ORG
824 Journal of Computational Chemistry 2013, 34, 819–826 WWW.CHEMISTRYVIEWS.COM
these properties satisfactorily. This conclusion is in line with
what was observed by Hammond and Kowalski.[6,7] As sug-
gested by these authors, perhaps a further reparametrization
of long-range-corrected exchange-correlation functionals is
necessary to obtain more reliable results within the KS-DFT
framework.
Acknowledgments
Part of the work, regarding the study of performance of newly
developed basis sets, was supported by the Homing Plus pro-
gramme (Homing Plus/2010-1/2), cofinanced from European Re-
gional Development Fund within Innovative Economy Operational
Programme.
The allocation of computing time granted by Wroclaw Centre for
Networking and Supercomputing (WCSS) is greatly appreciated.
Authors declare no competing financial interest.
Keywords: electric dipole polarizability � first electric dipole
hyperpolarizability � second electric dipole hyperpolarizabil-
ity � long–range–corrected density functional theory � LPol-n
basis sets
How to cite this article: A. Baranowska–Ła� czkowska, W. Bartko-
wiak, R. W. G�ora, F. Pawowski, R. Zalesny, J. Comput. Chem. 2013,
34, 819–826. DOI: 10.1002/jcc.23197
[1] T. H. Dunning, J. Chem. Phys. 1989, 90, 1007.
[2] R. A. Kendall, T. H. Dunning, R. J. Harrison, J. Chem. Phys. 1992, 96,
6796.
[3] D. E. Woon, T. H. Dunning, J. Chem. Phys. 1994, 100, 2975.
[4] O. Christiansen, S. Coriani, J. Gauss, C. Hattig, P. Jorgensen, F. Pawlow-
ski, A. Rizzo, In: Non-Linear Optical Properties of Matter: From Mole-
cules to Condensed Phases; M. G. Papadopoulos, A. J. Sadlej, J.
Leszczynski, Eds.; Dordrecht, Springer, 2006; pp. 51–99.
[5] J. R. Hammond, K. Kowalski, W. A. deJong, J. Chem. Phys. 2007, 127,
144105.
[6] J. R. Hammond, N. Govind, K. Kowalski, J. Autschbach, S. S. Xantheas,
J. Chem. Phys. 2009, 131, 214103.
[7] J. R. Hammond, K. Kowalski, J. Chem. Phys. 2009, 130, 194108.
[8] G. Maroulis, D. M. Bishop, J. Phys. B 1986, 19, 369.
[9] G. Maroulis, D. M. Bishop, Mol. Phys. 1986, 57, 359.
[10] G. Maroulis, D. M. Bishop, Mol. Phys. 1986, 58, 273.
[11] G. Maroulis, Chem. Phys. Lett. 1992, 199, 250.
[12] D. Goebel, U. Hohm, G. Maroulis, Phys. Rev. A 1996, 54, 1973.
[13] G. Maroulis, C. Pouchan, Phys. Rev. A 1998, 57, 2440.
[14] D. Rappoport, F. Furche, J. Chem. Phys. 2010, 133, 134105.
[15] E. R. Davidson, D. Feller, Chem. Rev. 1986, 86, 681.
[16] A. J. Sadlej, Chem. Phys. Lett. 1977, 47, 50.
[17] A. J. Sadlej, Theor. Chem. Acc. 1991, 79, 123.
[18] I. Cernus�ak, V. Kell€o, A. J. Sadlej, Coll. Czech. Chem. Commun. 2003, 68,
211.
[19] A. J. Sadlej, Coll. Czech. Chem. Commun. 1988, 53, 1995.
[20] Z. Benkova, A. J. Sadlej, R. E. Oakes, S. E. J. Bell, J. Comput. Chem.
2005, 26, 145.
[21] Z. Benkova, A. J. Sadlej, R. E. Oakes, S. E. J. Bell, Theor. Chem. Acc.
2005, 113, 238.
[22] A. Baranowska, M. Siedlecka, A. J. Sadlej, Theor. Chem. Acc. 2007, 118,
959.
[23] A. Baranowska, A. J. Sadlej, J. Comput. Chem. 2010, 31, 552.
[24] A. Baranowska, K. Z. Ła� czkowski, A. J. Sadlej, J. Comput. Chem. 2010,
31, 1176.
[25] A. Baranowska-Ła� czkowska, K. Z. Ła� czkowski, B. Fern�andez, J. Chem.
Phys. 2012, 136, 024302.
[26] A. Baranowska, A. Zawada, B. Fern�andez, W. Bartkowiak, D. Ke�dziera,
A. Kaczmarek-Ke�dziera, Phys. Chem. Chem. Phys. 2010, 12, 852.
[27] A. Baranowska, B. Fern�andez, A. J. Sadlej, Theor. Chem. Acc. 2011, 128,
555.
[28] A. Baranowska-Ła� czkowska, B. Fern�andez, A. Rizzo, B. Jansık, Mol. Phys.
2012, 110, 2503.
[29] A. Baranowska, S. Bouz�on Capelo, B. Fern�andez, Phys. Chem. Chem.
Phys. 2010, 12, 13586.
[30] S. Bouz�on Capelo, A. Baranowska-Ła� czkowska, B. Fern�andez, Chem.
Phys. 2011, 386, 88.
[31] B. Champagne, E. A. Perpete, D. Jacquemin, S. J. A. van Gisbergen, E.
J. Baerends, C. Soubra-Ghaoui, K. A. Robins, B. Kirtman, J. Phys. Chem.
A 2000, 104, 4755.
[32] B. Champagne, E. A. Perpete, S. J. A. van Gisbergen, E. J. Baerends, J.
G. Snijders, C. Soubra-Ghaoui, K. A. Robins, B. Kirtman, J. Chem. Phys.
1998, 109, 10489.
[33] S. J. A. van Gisbergen, P. R. T. Schipper, O. V. Gritsenko, E. J. Baerends,
J. G. Snijders, B. Champagne, B. Kirtman, Phys. Rev. Lett. 1999, 83, 694.
[34] H. Iikura, T. Tsuneda, T. Yanai, K. Hirao. J. Chem. Phys. 2001, 115, 3540.
[35] T. Yanai, D. P. Tew, N. C. Handy, Chem. Phys. Lett. 2004, 393, 51.
[36] O. A. Vydrov, J. Heyd, A. V. Krukau, G. E. Scuseria, J. Chem. Phys. 2006,
125, 074106.
[37] E. Rudberg, P. Sałek, T. Helgaker, H. Agren, J. Chem. Phys. 2005, 123,
184108.
[38] O. Loboda, R. Zale�sny, A. Avramopoulos, J. M. Luis, B. Kirtman, N. Tag-
matarchis, H. Reis, M. G. Papadopoulos, J. Phys. Chem. A 2009, 113,
1159.
[39] O. Loboda, R. Zale�sny, A. Avramopoulos, M. G. Papadopoulos, E. Arta-
cho, AIP Conf. Proc. 2009, 1108, 198.
[40] S. I. Lu, C. C. Chiu, Y. F. Wang, J. Chem. Phys. 2011, 135, 134104.
[41] B. Kirtman, S. Bonness, A. Ramirez-Solis, B. Champagne, H. Matsumoto,
H. Sekino, J. Chem. Phys. 2008, 128, 114108.
[42] D. Jacquemin, E. A. Perp�ete, G. Scalmani, M. J. Frisch, R. Kobayashi, C.
Adamo, J. Chem. Phys. 2007, 126, 144105.
[43] M. Kamiya, H. Sekino, T. Tsuneda, K. Hirao, J. Chem. Phys. 2005, 122,
234111.
[44] P. A. Limacher, K. V. Mikkelsen, H. P. Luthi, J. Chem. Phys. 2009, 130,
194114.
[45] M. Medved, S. Budzak, I. Cernus�ak, J. Mol. Struct. (Theochem) 2010,
961, 66.
[46] M. Medved, S. Budzak, T. Pluta, Chem. Phys. Lett. 2011, 515, 78.
[47] H. Rutishauser, Numer. Math. 1963, 5, 48.
[48] M. Medved, M. Stachov�a, D. Jacquemin, J.-M. Andr�e, E. A. Perpete, J.
Mol. Struct. (Theochem) 2007, 847, 39.
[49] P. J. Stephens, F. J. Devlin, C. F. Chabalowski, M. J. Frish, J. Phys. Chem.
1994, 98, 11623.
[50] T. Yanai, D. P. Tew, N. C. Handy, Chem. Phys. Lett. 2004, 393, 51.
[51] Y. Tawada, T. Tsuneda, S. Yanagisawa, T. Yanai, K. Hirao, J. Chem. Phys.
2004, 120, 8425.
[52] O. A. Vydrov, G. E. Scuseria, J. Chem. Phys. 2006, 125, 234109.
[53] Y. Zhao, D. Truhlar, Theor. Chem. Acc. 2008, 120, 215.
[54] M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R.
Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G. A. Petersson, H.
Nakatsuji, M. Caricato, X. Li, H. P. Hratchian, A. F. Izmaylov, J. Bloino, G.
Zheng, J. L. Sonnenberg, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J.
Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven,
J. A. Montgomery, Jr., J. E. Peralta, F. Ogliaro, M. Bearpark, J. J. Heyd, E.
Brothers, K. N. Kudin, V. N. Staroverov, R. Kobayashi, J. Normand, K.
Raghavachari, A. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi,
N. Rega, J. M. Millam, M. Klene, J. E. Knox, J. B. Cross, V. Bakken, C.
Adamo, J. Jaramillo, R. Gomperts, R. E. Stratmann, O. Yazyev, A. J. Aus-
tin, R. Cammi, C. Pomelli, J. W. Ochterski, R. L. Martin, K. Morokuma, V.
G. Zakrzewski, G. A. Voth, P. Salvador, J. J. Dannenberg, S. Dapprich, A.
D. Daniels, O. Farkas, J. B. Foresman, J. V. Ortiz, J. Cioslowski, D. J. Fox,
Gaussian 09 Revision A.1, Gaussian Inc.: Wallingford, CT, 2009.
[55] M. W. Schmidt, K. K. Baldridge, J. A. Boatz, S. T. Elbert, M. S. Gordon, J.
H. Jensen, S. Koseki, N. Matsunaga, K. A. Nguyen, S. Su, T. L. Windus,
M. Dupuis, J. A. Montgomery, J. Comput. Chem. 1993, 14, 1347.
[56] G. Karlstr€om, R. Lindh, P.-A. Malmqvist, B. O. Roos, U. Ryde, V. Veryazov,
P.-O. Widmark, M. Cossi, B. Schimmelpfennig, P. Neogr�ady, L. Seijo,
Comput. Mater. Sci. 2003, 28, 222.
FULL PAPERWWW.C-CHEM.ORG
Journal of Computational Chemistry 2013, 34, 819–826 825
[57] V. Veryazov, P.-O. Widmark, L. Serrano-Andr�es, R. Lindh, B. O. Roos, Int.
J. Quantum Chem. 2004, 100, 626.
[58] F. Aquilante, L. De Vico, N. Ferr�e, G. Ghigo, P.-A. Malmqvist, P. Neo-
gr�ady, T. B. Pedersen, M. Pitonak, M. Reiher, B. O. Roos, L. Serrano-
Andr�es, M. Urban, V. Veryazov, R. Lindh, J. Comput. Chem. 2010, 31,
224.
[59] D. M. Bishop, B. Champagne, B. Kirtman, J. Chem. Phys. 1998, 109,
9987.
[60] F. Meyers, S. R. Marder, B. M. Pierce, J. L. Br�edas, J. Am. Chem. Soc.
1994, 116, 10703.
[61] F. Meyers, J. L. Br�edas, B. M. Pierce, S. R. Marder, Nonlinear Opt. 1995,
14, 61.
[62] T. Kogej, D. Beljonne, F. Meyers, J. W. Perry, S. R. Marder, J. L. Br�edas,
Chem. Phys. Lett. 1998, 298, 1.
[63] T. J. Lee, P. R. Taylor, Int. J. Quantum Chem. Symp. 1989, 23, 199.
[64] T. J. Lee, M. Head-Gordon, A. P. Rendell, Chem. Phys. Lett. 1995, 243,
402.
[65] D. Jacquemin, C. Adamo, J. Chem. Theory Comput. 2011, 7, 369.
[66] M. J. G. Peach, E. I. Tellgren, P. Sałek, T. Helgaker, D. J. Tozer, J. Phys.
Chem. A 2007, 111, 11930.
[67] F. Sim, S. Chin, M. Dupuis, J. E. Rice, J. Phys. Chem. 1993, 97, 1158.
[68] D. Jacquemin, E. A. Perpete, M. Medved, G. Scalmani, M. J. Frish, R.
Kobayashi, C. Adamo, J. Chem. Phys. 2007, 126, 191108.
Received: 11 July 2012Revised: 27 October 2012Accepted: 30 October 2012Published online on 28 December 2012
FULL PAPER WWW.C-CHEM.ORG
826 Journal of Computational Chemistry 2013, 34, 819–826 WWW.CHEMISTRYVIEWS.COM