2000
DOI: 10.1016/s0009-2614(00)00319-5
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Density functional studies of molecular polarizabilities.

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2001
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Cited by 18 publications
(16 citation statements)
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“…The derivatives have been evaluated by using the finite field method [48,[65][66][67]. The mean polarisability (ᾱ) is calculated from the diagonal elements of the polarisability tensor asᾱ…”
Section: Methodsmentioning
confidence: 99%
“…The derivatives have been evaluated by using the finite field method [48,[65][66][67]. The mean polarisability (ᾱ) is calculated from the diagonal elements of the polarisability tensor asᾱ…”
Section: Methodsmentioning
confidence: 99%
“…In addition, previous literature show that the predictive capability of the B3LYP functional for electronic polarizability is fair [45,46] and even better than MP2 method in some case [47]. Having the optimized structure, the frequency independent (static) dipole polarizabilities ðãÞ, and first order hyperpolarizabilities (b) are calculated with B3LYP functional using the finite field method [48][49][50][51]. The calculations of the hyperpolarizabilities require flexible and adequately polarized and diffuse added basis set.…”
Section: Methodsmentioning
confidence: 99%
“…All calculations were carried out using the computational package GAUSSIAN 03 31. Having the optimized structures, the static (frequency‐independent) dipole polarizabilities are calculated using the finite‐field method,3, 32–34 as discussed briefly below.…”
Section: Methodsmentioning
confidence: 99%
“…The presence of the external electric field of an incident light wave may induce oscillating electric moments in a molecular system. Thus, the molecular charge density may rearrange, the dipole moment may change,32 and the molecule may suffer distortions because of the applied field. This change can be expressed conveniently as Taylor expansion of the permanent electric dipole moment, μ p with respect to the applied electric field, E : \font\abc=cmmib10\def\bi #1{\hbox{\abc #1}} $$ \mu _{{\rm{p}},j} ({\bi E}) = \mu _{{\rm{p}},j} ({\bi 0}) + \sum\limits_{j = x}^z {\alpha _{ij} E_j } + {1 \over 2}\sum\limits_{j = x}^z {\sum\limits_{k = x}^z {\beta _{ijk} } } E_j E_k + \cdots $$ …”
Section: Methodsmentioning
confidence: 99%