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Lagrangian Z-vector approach to Bethe-Salpeter analytic gradients: Assessing approximations.
Villalobos-Castro, J; Knysh, Iryna; Jacquemin, Denis; Duchemin, Ivan; Blase, Xavier.
Afiliação
  • Villalobos-Castro J; Univ. Grenoble Alpes, CNRS, Institut Néel, F-38042 Grenoble, France.
  • Knysh I; Nantes Université, CNRS, CEISAM UMR 6230, F-44000 Nantes, France.
  • Jacquemin D; Nantes Université, CNRS, CEISAM UMR 6230, F-44000 Nantes, France.
  • Duchemin I; Institut Universitaire de France (IUF), F-75005 Paris, France.
  • Blase X; Univ. Grenoble Alpes, CEA, IRIG-MEM-L_Sim, 38054 Grenoble, France.
J Chem Phys ; 159(2)2023 Jul 14.
Article em En | MEDLINE | ID: mdl-37431907
ABSTRACT
We present an implementation of excited-state analytic gradients within the Bethe-Salpeter equation formalism using an adapted Lagrangian Z-vector approach with a cost independent of the number of perturbations. We focus on excited-state electronic dipole moments associated with the derivatives of the excited-state energy with respect to an electric field. In this framework, we assess the accuracy of neglecting the screened Coulomb potential derivatives, a common approximation in the Bethe-Salpeter community, as well as the impact of replacing the GW quasiparticle energy gradients by their Kohn-Sham analogs. The pros and cons of these approaches are benchmarked using both a set of small molecules for which very accurate reference data are available and the challenging case of increasingly extended push-pull oligomer chains. The resulting approximate Bethe-Salpeter analytic gradients are shown to compare well with the most accurate time-dependent density-functional theory (TD-DFT) data, curing in particular most of the pathological cases encountered with TD-DFT when a nonoptimal exchange-correlation functional is used.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Phys Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Phys Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França