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Geminal embedding scheme for optimal atomic basis set construction in correlated calculations

Sorella, Sandro
•
Devaux, N
•
Dagrada, M
altro
Casula, M.
2015
  • journal article

Periodico
JOURNAL OF CHEMICAL PHYSICS ONLINE
Abstract
We introduce an efficient method to construct optimal and system adaptive basis sets for use in electronic structure and quantum Monte Carlo calculations. The method is based on an embedding scheme in which a reference atom is singled out from its environment, while the entire system (atom and environment) is described by a Slater determinant or its antisymmetrized geminal power (AGP) extension. The embedding procedure described here allows for the systematic and consistent contraction of the primitive basis set into geminal embedded orbitals (GEOs), with a dramatic reduction of the number of variational parameters necessary to represent the many-body wave function, for a chosen target accuracy. Within the variational Monte Carlo method, the Slater or AGP part is determined by a variational minimization of the energy of the whole system in presence of a flexible and accurate Jastrow factor, representing most of the dynamical electronic correlation. The resulting GEO basis set opens the way for a fully controlled optimization of many-body wave functions in electronic structure calculation of bulk materials, namely, containing a large number of electrons and atoms. We present applications on the water molecule, the volume collapse transition in cerium, and the high-pressure liquid hydrogen. © 2015 AIP Publishing LLC.
DOI
10.1063/1.4938089
WOS
WOS:000370412900077
Archivio
http://hdl.handle.net/20.500.11767/17234
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84953247813
https://arxiv.org/abs/1602.00035
Diritti
open access
Soggetti
  • localize basis set

  • geminal wave function...

  • quantum Monte Carlo

  • Settore FIS/03 - Fisi...

Scopus© citazioni
12
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
13
Data di acquisizione
Mar 17, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
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