International Journal of Photoenergy

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Volume 2014 |Article ID 346272 | 6 pages | https://doi.org/10.1155/2014/346272

Electron Correlation Effects on the Longitudinal Polarizabilities and Second Hyperpolarizabilities of Polyenes: A Finite Field Study

Academic Editor: Yusheng Dou
Received16 Apr 2014
Revised11 Jun 2014
Accepted11 Jul 2014
Published23 Jul 2014

Abstract

We carry out ab initio calculations, based on finite-field scheme, of the longitudinal polarizabilities () and second hyperpolarizabilities () of conjugated polyenes, and study the effects of electron correlation, with second-order Moller-Plesset perturbation theory and coupled cluster with singles and doubles method. Calculations with density functional theory are also made to compare with wave-function 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 coupled-perturbed HF (CPHF) calculations up to C22H24 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 [221]. 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 xc-functionals always fails to offer a reasonable description of nonlinear optical properties for conjugated polymers, including polyenes [1215]. In a recent work, Sekino et al. reported their efforts on developing new xc-functional to overcome this problem [15]. They also reported their calculations based on by MP2 (second-order Moller-Plesset 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 6-31G 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 Pariser-Parr-Pople (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 6-31G basis set lead to same conclusions to semiempirical PPP model. Hurst et al. showed that basis sets of quasi-double 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 commonly-used 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 6-31G basis set are plotted in Figure 1. Champagne et al. reported their calculations in [12] for C12H14 and C20H22 with same geometries (double zeta basis set used for C12H14 and 6-31G used for the other, see details in [12]). DFT data reported here for C20H22 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 C12H14 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 xc-fuctionals here, as was shown before by others [1214]. 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.


N2345678910

6-31G
 HF40.048.758.868.176.584.190.796.6
 MP232.539.947.454.360.566.070.975.1
 CCSD31.737.343.047.952.055.458.260.6
 SVWN37.250.465.180.897.0114130147163
 BLYP37.350.665.381.097.1114130147163
 B3LYP37.449.362.475.889.2102115127138
6-31G(d)
 HF39.448.458.467.776.183.590.1
 MP233.542.050.658.766.172.878.7
 CCSD33.440.447.553.759.263.867.8
 SVWN37.451.166.082.098.6116133150167
 BLYP37.551.266.182.098.5115132149166
 B3LYP37.549.863.176.890.4104117129141
6-31+G
 HF43.752.662.872.280.788.394.9101
 MP236.844.552.359.565.971.776.781.1
 CCSD35.441.247.152.256.560.163.065.5
 SVWN41.655.370.486.5103120137154171
 BLYP42.456.371.587.6104121138155171
 B3LYP41.854.267.681.394.9108121133145
6-31+G(d)
 HF56.468.481.894.1105115
 MP249.361.072.783.693.6103
 CCSD48.558.067.576.083.389.6
 SVWN41.956.171.687.9105122140157174
 BLYP42.757.172.689.0106123140157174
 B3LYP42.154.968.682.696.5110123135147

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 6-31+G(d) is steeper than the other three ones. The differences between 6-31+G(d) basis set and other basis sets range from 27% to 38%. There are no essential difference between 6-31G, 6-31+G, and 6-31G(d) basis sets.

We now come to . The results are listed in Table 2, and the data obtained with 6-31G basis set are plotted in Figure 3. We first discuss results for 6-31G basis set. For DFT methods with 6-31G 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 6-31+G basis set and now the sign inversion of correlation contribution occurs at C18H20, while, for 6-31G(d) and 6-31+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, 2532].


N 2345678910

6-31G
 HF−0.121.935.8512.923. 637.654.567.8
 MP20.844.3311. 824. 944.470.2101131
 CCSD0.803.117.4415.326.534.546.752.3
 SVWN0.152.809.9126.961.8126232403659
 BLYP0.152.099.3026.161.4125229398650
 B3LYP0.142.299.2524.554.2104190301458
6-31G(d)
 HF−0.111.795.3811.921.433.949.3
 MP20.673.8310.823.442.267.498.8
 CCSD0.604.048.7116.627.240.356.3
 SVWN0.142.599.2622.663.9116232392644
 BLYP0.132.579.2523.160.0121231384637
 B3LYP0.122.639.0723.551.699.2173278422
6-31+G
 HF0.423.568.7817.430.045.562.385.2
 MP21.927.0816.933.056.185.6125161
 CCSD1.595.3911.721.031.845.563.270.8
 SVWN1.075.4515.437.279.3158285433711
 BLYP1.185.7116.940.083.2159357468728
 B3LYP0.985.3015.235.169.0148216335497
6-31+G(d)
 HF0.755.8014.126.446.771.5
 MP22.8811.126.851.591.5141
 CCSD2.709.0119.535.359.389.0
 SVWN1.085.2614.7635.576.0148269450709
 BLYP1.195.7615.236.178.8154280468782
 B3LYP0.995.2713.931.066.6117209342485

In Figure 4, we plotted calculated by CCSD with various basis sets. Again, 6-31+G(d) basis set performs obviously different from the other three. The difference for between 6-31+G(d) basis set and other basis sets ranges from 41% to 61%. And the 6-31G, 6-31+G, and 6-31G(d) basis sets perform similarly.

Sekino et al. reported their results based on CCSD calculations with cc-pVDZ basis set for polyenes up to C12H14 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 6-31G, 6-31+G, 6-31G(d), and 6-31+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 6-31G and 6-31+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 (A2008-16).

References

  1. G. Hurst, M. Dupuis, and E. Clementi, “Ab initio analytic polarizability, first and second hyperpolarizabilities of large conjugated organic molecules: applications to polyenes C4H6 to C22H24,” The Journal of Chemical Physics, vol. 89, no. 1, pp. 385–395, 1988. View at: Google Scholar
  2. B. Kirtman and B. Champagne, “Nonlinear optical properties of quasilinear conjugated oligomers, polymers and organic molecules,” International Reviews in Physical Chemistry, vol. 16, no. 4, pp. 389–420, 1997. View at: Publisher Site | Google Scholar
  3. B. M. Pierce, “A theoretical analysis of third-order nonlinear optical properties of linear polyenes and benzene,” The Journal of Chemical Physics, vol. 91, no. 2, pp. 791–811, 1989. View at: Publisher Site | Google Scholar
  4. D. R. Kanis, M. A. Ratner, and T. J. Marks, “Third-order nonlinear optical response in organic materials: theoretical and experimental aspects,” Chemical Reviews, vol. 94, no. 1, pp. 195–242, 1994. View at: Publisher Site | Google Scholar
  5. C. Adant, J. L. Brédas, and M. Dupuis, “An ab initio and semiempirical study of the first- and third-order polarizabilities in benzene and thiophene derivatives: electron correlation effects,” Journal of Physical Chemistry A, vol. 101, no. 16, pp. 3025–3031, 1997. View at: Google Scholar
  6. D. Jacquemin, J. M. André, and E. A. Perpète, “Geometry, dipole moment, polarizability and first hyperpolarizability of polymethineimlne: an assessment of electron correlation contributions,” Journal of Chemical Physics, vol. 121, no. 9, pp. 4389–4396, 2004. View at: Publisher Site | Google Scholar
  7. D. Jacquemin, E. A. Perpète, and J. André, “NLO response of polymethineimine and polymethineimine/polyacetylene conformers: assessment of electron correlation effects,” International Journal of Quantum Chemistry, vol. 105, no. 6, pp. 553–563, 2005. View at: Publisher Site | Google Scholar
  8. H. Sekino and R. J. Bartlett, “Hyperpolarizabilities of molecules with frequency dependence and electron correlation,” The Journal of Chemical Physics, vol. 94, no. 5, pp. 3665–3670, 1991. View at: Publisher Site | Google Scholar
  9. Q. X. Li, L. P. Chen, and Z. G. Shuai, “Electron correlation effects on the nonlinear optical properties of conjugated polyenes,” Chemical Physics Letters, vol. 457, no. 1–3, pp. 276–278, 2008. View at: Publisher Site | Google Scholar
  10. Q. X. Li, Y. P. Yi, and Z. G. Shuai, “Local approach to coupled cluster evaluation of polarizabilities for long conjugated molecules,” Journal of Computational Chemistry, vol. 29, no. 10, pp. 1650–1655, 2008. View at: Publisher Site | Google Scholar
  11. M. Torrent-Sucarrat, M. Solà, M. Duran, J. M. Luis, and B. Kirtman, “Basis set and electron correlation effects on ab initio electronic and vibrational nonlinear optical properties of conjugated organic molecules,” Journal of Chemical Physics, vol. 118, no. 2, pp. 711–718, 2003. View at: Publisher Site | Google Scholar
  12. B. Champagne, E. A. Perpète, S. J. A. Van Gisbergen et al., “Assessment of conventional density functional schemes for computing the polarizabilities and hyperpolarizabilities of conjugated oligomers: an ab initio investigation of polyacetylene chains,” Journal of Chemical Physics, vol. 109, no. 23, pp. 10489–10498, 1998. View at: Publisher Site | Google Scholar
  13. S. J. A. Van Gisbergen, P. R. T. Schipper, O. V. Gritsenko et al., “Electric field dependence of the exchange-correlation potential in molecular chains,” Physical Review Letters, vol. 83, no. 4, pp. 694–697, 1999. View at: Publisher Site | Google Scholar
  14. B. Champagne, E. A. Perpète, D. Jacquemin et al., “Assessment of conventional density functional schemes for computing the dipole moment and (hyper)polarizabilities of push-pull π-conjugated systems,” Journal of Physical Chemistry A, vol. 104, no. 20, pp. 4755–4763, 2000. View at: Publisher Site | Google Scholar
  15. H. Sekino, Y. Maeda, M. Kamiya, and K. Hirao, “Polarizability and second hyperpolarizability evaluation of long molecules by the density functional theory with long-range correction,” Journal of Chemical Physics, vol. 126, no. 1, Article ID 014107, 6 pages, 2007. View at: Publisher Site | Google Scholar
  16. Z. G. Shuai and J. L. Brédas, “Coupled-cluster approach for studying the electronic and nonlinear optical properties of conjugated molecules,” Physical Review B, vol. 62, no. 23, pp. 15452–15460, 2000. View at: Publisher Site | Google Scholar
  17. H. Sekino and R. J. Bartlett, “Molecular hyperpolarizabilities,” The Journal of Chemical Physics, vol. 98, no. 4, pp. 3022–3037, 1993. View at: Publisher Site | Google Scholar
  18. G. Maroulis, “A systematic study of basis set, electron correlation, and geometry effects on the electric multipole moments, polarizability, and hyperpolarizability of HCI,” The Journal of Chemical Physics, vol. 108, no. 13, pp. 5432–5448, 1998. View at: Publisher Site | Google Scholar
  19. G. Maroulis, “On the accurate theoretical determination of the static hyperpolarizability of trans-butadiene,” The Journal of Chemical Physics, vol. 111, no. 2, pp. 583–591, 1999. View at: Publisher Site | Google Scholar
  20. S. Nénon, B. Champagne, and M. I. Spassova, “Assessing long-range corrected functionals with physically-adjusted range-separated parameters for calculating the polarizability and the second hyperpolarizability of polydiacetylene and polybutatriene chains,” Physical Chemistry Chemical Physics, vol. 16, no. 15, pp. 7083–7088, 2014. View at: Publisher Site | Google Scholar
  21. M. de Wergifosse and B. Champagne, “Electron correlation effects on the first hyperpolarizability of push-pull-π-conjugated systems,” The Journal of Chemical Physics, vol. 134, no. 7, Article ID 074113, 2011. View at: Publisher Site | Google Scholar
  22. R. G. Parr and W. T. Yang, Density-Functional Theory of Atoms and Molecules, Oxford University Press, New York, NY, USA, 1989.
  23. W. Koch and M. C. Holthausen, A Chemist’s Guide to Density Functional Theory, Wiley-VCH, New York, NY, USA, 2000.
  24. C. Revision, M. J. Frisch, G. W. Trucks et al., “Gaussian 03, Revision C.02,” Gaussian, Wallingford, Conn, USA, 2004. View at: Google Scholar
  25. C. Hampel and H. Werner, “Local treatment of electron correlation in coupled cluster theory,” Journal of Chemical Physics, vol. 104, no. 16, pp. 6286–6297, 1996. View at: Publisher Site | Google Scholar
  26. M. Schütz and H. Werner, “Low-order scaling local electron correlation methods. IV. Linear scaling local coupled-cluster (LCCSD),” The Journal of Chemical Physics, vol. 114, no. 2, pp. 661–681, 2001. View at: Publisher Site | Google Scholar
  27. M. Schütz and H. Werner, “Local perturbative triples correction (T) with linear cost scaling,” Chemical Physics Letters, vol. 318, no. 4-5, pp. 370–378, 2000. View at: Publisher Site | Google Scholar
  28. S. H. Li, J. Ma, and Y. S. Jiang, “Linear scaling local correlation approach for solving the coupled cluster equations of large systems,” Journal of Computational Chemistry, vol. 23, no. 2, pp. 237–244, 2002. View at: Publisher Site | Google Scholar
  29. S. H. Li, J. Shen, W. Li, and Y. Jiang, “An efficient implementation of the “cluster-in-molecule” approach for local electron correlation calculations,” The Journal of Chemical Physics, vol. 125, no. 7, Article ID 074109, 10 pages, 2006. View at: Publisher Site | Google Scholar
  30. N. Flocke and R. J. Bartlett, “Localized correlation treatment using natural bond orbitals,” Chemical Physics Letters, vol. 367, no. 1-2, pp. 80–89, 2003. View at: Publisher Site | Google Scholar
  31. N. Flocke and R. J. Bartlett, “A natural linear scaling coupled-cluster method,” Journal of Chemical Physics, vol. 121, no. 22, article no. 10, pp. 10935–10944, 2004. View at: Publisher Site | Google Scholar
  32. G. E. Scuseria and P. Y. Ayala, “Linear scaling coupled cluster and perturbation theories in the atomic orbital basis,” The Journal of Chemical Physics, vol. 111, no. 18, pp. 8330–8343, 1999. View at: Publisher Site | Google Scholar
  33. P. A. Limacher, Q. X. Li, and H. P. Lüthi, “On the effect of electron correlation on the static second hyperpolarizability of conjugated oligomer chains,” Journal of Chemical Physics, vol. 135, no. 1, Article ID 014111, pp. 1–4, 2011. View at: Publisher Site | Google Scholar

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.

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