A new tuned range-separated density functional for the accurate calculation of second hyperpolarizabilities
The calculation of nonlinear optical properties (NLOPs) using density functional theory (DFT) remains a challenge in computational chemistry. Although the existing range-separated functionals display the best performance for the calculation of this type of properties, their errors strongly depend on...
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Veröffentlicht in: | Physical chemistry chemical physics : PCCP 2020-06, Vol.22 (21), p.11871-1188 |
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Sprache: | eng |
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Zusammenfassung: | The calculation of nonlinear optical properties (NLOPs) using density functional theory (DFT) remains a challenge in computational chemistry. Although the existing range-separated functionals display the best performance for the calculation of this type of properties, their errors strongly depend on the family of molecules studied. Herein, we have explored a new strategy to empirically tune the range-separated LC-BLYP method to improve the accuracy of the calculation of the second hyperpolarizabilities (
γ
), which are poorly described by current density functional approximations. First, we benchmarked nine of the most accurate commonly used range-separated hybrid and optimally tuned functionals (
i.e.
B3LYP, PBE0, BH&HLYP, M06-2X, MN15,
ω
B97X-D, CAM-B3LYP, LC-BLYP and OT-LC-BLYP) for the calculation of
γ
using as a reference the CCSD(T) values of a chemically diverse set of 60 molecules. Among these nine functionals, LC-BLYP gives the lowest average errors. We determined the value of the range-separation parameter
ω
required to reproduce the CCSD(T) second hyperpolarizabilities with the LC-BLYP functional (
ω
CC
) for the set of 60 molecules. Our new tuned range-separated functional, Tα-LC-BLYP, uses a quadratic correlation between
ω
CC
and a molecular descriptor in terms of the linear polarizability and the number of electrons in the molecule. The average error of the
γ
values obtained with Tα-LC-BLYP is reduced by half or more as compared with the most accurate among the nine density functional approximations benchmarked.
Among the nine functionals benchmarked, the most accurate
γ
are obtained by Tα-LC-BLYP, reducing about half the errors of LC-BLYP. |
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ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d0cp01291b |