An efficient hybrid scheme for time dependent density functional theory.


Journal

The Journal of chemical physics
ISSN: 1089-7690
Titre abrégé: J Chem Phys
Pays: United States
ID NLM: 0375360

Informations de publication

Date de publication:
14 May 2020
Historique:
entrez: 17 5 2020
pubmed: 18 5 2020
medline: 18 5 2020
Statut: ppublish

Résumé

A hybrid approach able to perform Time Dependent Density Functional Theory (TDDFT) simulations with the same accuracy as that of hybrid exchange-correlation (xc-) functionals but at a fraction of the computational cost is developed, implemented, and validated. The scheme, which we name Hybrid Diagonal Approximation (HDA), consists in employing in the response function a hybrid xc-functional (containing a fraction of the non-local Hartree-Fock exchange) only for the diagonal elements of the omega matrix, while the adiabatic local density approximation is employed for the off-diagonal terms. HDA is especially (but not exclusively) advantageous when using Slater type orbital basis sets and allows one to employ them in a uniquely efficient way, as we demonstrate here by implementing HDA in a local version of the Amsterdam Density Functional code. The new protocol is tested on NH

Identifiants

pubmed: 32414253
doi: 10.1063/5.0005954
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

184104

Auteurs

Marco Medves (M)

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Via Giorgieri 1, 34127 Trieste, Italy.

Luca Sementa (L)

CNR-ICCOM & IPCF, Consiglio Nazionale delle Ricerche, Via Giuseppe Moruzzi 1, 56124 Pisa, Italy.

Daniele Toffoli (D)

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Via Giorgieri 1, 34127 Trieste, Italy.

Giovanna Fronzoni (G)

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Via Giorgieri 1, 34127 Trieste, Italy.

Alessandro Fortunelli (A)

CNR-ICCOM & IPCF, Consiglio Nazionale delle Ricerche, Via Giuseppe Moruzzi 1, 56124 Pisa, Italy.

Mauro Stener (M)

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Via Giorgieri 1, 34127 Trieste, Italy.

Classifications MeSH