Research Article  Open Access
Qingxu Li, Xianju Zhou, Shiwei Yin, "Electron Correlation Effects on the Longitudinal Polarizabilities and Second Hyperpolarizabilities of Polyenes: A Finite Field Study", International Journal of Photoenergy, vol. 2014, Article ID 346272, 6 pages, 2014. https://doi.org/10.1155/2014/346272
Electron Correlation Effects on the Longitudinal Polarizabilities and Second Hyperpolarizabilities of Polyenes: A Finite Field Study
Abstract
We carry out ab initio calculations, based on finitefield scheme, of the longitudinal polarizabilities () and second hyperpolarizabilities () of conjugated polyenes, and study the effects of electron correlation, with secondorder MollerPlesset perturbation theory and coupled cluster with singles and doubles method. Calculations with density functional theory are also made to compare with wavefunction based methods. Our study shows that electron correlation reduces linear longitudinal polarizability and enhances longitudinal second hyperpolarizability for short polyenes, but the effects decrease as the chain increases; choosing appropriate basis sets is important when quantitative results are required.
1. Introduction
The linear and nonlinear optical properties of conjugated polymers have been intensely investigated in recent decades due to their great potentials in industry. The polarizability and second hyperpolarizability of linear polyenes, the simplest conjugated polymer, have attracted research interests of many scientists. Ab initio calculations of linear and are severely restricted to short polyenes due to the formidable computational costs. Hurst et al. reported ab initio coupledperturbed HF (CPHF) calculations up to C_{22}H_{24} more than 20 years ago [1]. Since then, researchers have showed that electron correlation effects play a key role in correctly describing the linear and nonlinear optical properties of conjugated systems [2–21]. And thus, proper treatment of electron correlation in electronic structure calculations is very important. However, accurate correlated electronic structure calculations for long polyenes require immense computational resources and thus are now impractical.
DFT method becomes more popular in recent years for its excellent balance between the accuracy and computational costs [22, 23]. Unfortunately, researches showed that DFT with commonly used xcfunctionals always fails to offer a reasonable description of nonlinear optical properties for conjugated polymers, including polyenes [12–15]. In a recent work, Sekino et al. reported their efforts on developing new xcfunctional to overcome this problem [15]. They also reported their calculations based on by MP2 (secondorder MollerPlesset perturbation theory) and CCSD (coupled cluster with singles and doubles method). Eventually, MP2 is the only practical choice for long polyenes till now. CCSD is more expensive and thus more restricted when used for evaluation of and , even for the 631G basis set, the smallest basis set of practical use. Champagne et al. used MP2 method to invalidate DFT in evaluating and of conjugated chains [12].
We found recently that, based on the semiempirical PariserParrPople (PPP) model, CCSD predicts electron correlation results in a reduction on for long polyenes, while MP2 predicts electron correlation always enhances and thus gives wrong predictions for electron correlation contributions to the of long polyenes [9]. The primary ab initio CCSD calculations we made with 631G basis set lead to same conclusions to semiempirical PPP model. Hurst et al. showed that basis sets of quasidouble zeta quality are good enough, particularly for the longitudinal component. Since their conclusion were based on CPHF calculations, we wonder if more reliable basis sets will still support this point. Calculations with various basis sets are thus performed and reported in this paper. Results obtained by three commonlyused DFT schemes are also presented for the sake of completeness.
2. Computational Details
The geometries of polyenes used in this study were taken from [12] (Figure 1(a) in [12]). Electronic energies for the system in different electric fields are calculated with Gaussian 03 package [24]. After that, the finite field method is used to evaluate the longitudinal polarizability () and second hyperpolarizability () with the following numerical formulae: The electric fields used are 0, 8, a.u. (i.e., a.u). As is known, large electric field will result in troubles in convergence and small electric field will require more significant figures for numerical derivatives and consequently is more computationally expensive. We found a.u can work well for systems studied in this work. The electric field is applied along the direction of chain, as is chosen as axis direction. Only longitudinal components and are calculated.
3. Results and Discussions
The results of longitudinal polarizabilities per unit cell ( is number of unit cells or double bonds in the system) are gathered in Table 1. And the data obtained with 631G basis set are plotted in Figure 1. Champagne et al. reported their calculations in [12] for C_{12}H_{14} and C_{20}H_{22} with same geometries (double zeta basis set used for C_{12}H_{14} and 631G used for the other, see details in [12]). DFT data reported here for C_{20}H_{22} are exactly the same as those in [12] (all data mentioned here and after can be found in Tables 1–4 in [12]) as expected. Small differences (SVWN: 94.8, B3LYP: 87.0, reported in [12]) for C_{12}H_{14} can attribute to different basis set used in calculations. This can also explain the difference between HF and MP2 results; besides, that coupled HF (CHF) was used in [12]. In Figure 1, all curves obtained by DFT schemes are above HF; however, MP2 and CCSD curves are below that of HF. One can easily see the failure of commonly used xcfuctionals here, as was shown before by others [12–14]. SVWN and BLYP predict nearly identical results. Another point worth to mention is the difference between CCSD and MP2 increases as the chain grows. It becomes more important while quantitative or semiquantitative results are required for long polyenes. Similar conclusions can be made for other basis sets from Table 1.

From Table 1, we conclude that basis set effects are unimportant for all DFT methods used here. Things are different for HF, MP2, and CCSD methods. We plot the CCSD results with various basis sets in Figure 2. The largest and also the most reliable basis set 631+G(d) is steeper than the other three ones. The differences between 631+G(d) basis set and other basis sets range from 27% to 38%. There are no essential difference between 631G, 631+G, and 631G(d) basis sets.
We now come to . The results are listed in Table 2, and the data obtained with 631G basis set are plotted in Figure 3. We first discuss results for 631G basis set. For DFT methods with 631G basis set, negligible differences appear when compared to those reported in [12]. One more thing to be mentioned here is that electric fields and numerical derivatives formulae will result in some differences on digitals. It is very interesting, seen from Figure 3, that CCSD calculations predict electron correlation will reduce while , fully contrary to those predicted by MP2, but the question is whether this point can be also confirmed by more reliable basis sets. Similar results can be found for calculations with 631+G basis set and now the sign inversion of correlation contribution occurs at C_{18}H_{20}, while, for 631G(d) and 631+G(d), this sign inversion has not been observed. One interesting problem then appears whether this sign inversion will occur or not for those two basis sets. If the answer is yes (we believe so), the commonly used MP2 (due to its moderate computational costs) makes qualitatively wrong predictions for correlation contribution on for long polyenes. Undoubtedly, further work is necessary to completely confirm this. The local CCSD method developed recently may be helpful to investigate the longer polyenes [10, 25–32].

In Figure 4, we plotted calculated by CCSD with various basis sets. Again, 631+G(d) basis set performs obviously different from the other three. The difference for between 631+G(d) basis set and other basis sets ranges from 41% to 61%. And the 631G, 631+G, and 631G(d) basis sets perform similarly.
Sekino et al. reported their results based on CCSD calculations with ccpVDZ basis set for polyenes up to C_{12}H_{14} with a very different geometry (in the sense of bond length alternation) [15]. In their results, both CCSD and MP2 predict a positive correlation contribution for up to . Limacher et al. reported similar results based on calculations with response theory methods [33].
4. Conclusions
We have calculated the longitudinal polarizabilities and second hyperpolarizabilities of polyenes using HF, MP2, and CCSD methods and 631G, 631+G, 631G(d), and 631+G(d) basis sets. Both MP2 and CCSD predict a negative correlation contribution for longitudinal polarizability, while DFT calculations using SVWN, BLYP, and B3LYP schemes all predicts positive correlation contributions. For second hyperpolarizability, a sign inversion of correlation contribution is observed for CCSD calculations with 631G and 631+G basis sets. This sign inversion is yet to be further confirmed by more reliable basis set in the future. Contrary to CCSD, MP2 predicts a positive correlation contribution and thus should be used with much caution for evaluation of second hyperpolarizabilities of long conjugated chains. Addition of diffuse and polarization functions will enhance obviously, but addition of polarization functions or addition of diffuse functions makes no essential difference.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
This work is supported by National Natural Science Foundation of China (NSFC: 20903123), Natural Science Foundation Project of CQ CSTC (2010BB4116), and The Research Station Funding for Doctorial Faculty Members of Chongqing University of Posts and Telecommunications (A200816).
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Copyright © 2014 Qingxu Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.