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Locality error free effective core potentials for 3d transition metal elements developed for the diffusion Monte Carlo method.
Ichibha, Tom; Nikaido, Yutaka; Bennett, M Chandler; Krogel, Jaron T; Hongo, Kenta; Maezono, Ryo; Reboredo, Fernando A.
Afiliação
  • Ichibha T; School of Information Science, JAIST, Asahidai 1-1, Nomi, Ishikawa 923-1292, Japan.
  • Nikaido Y; Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
  • Bennett MC; School of Information Science, JAIST, Asahidai 1-1, Nomi, Ishikawa 923-1292, Japan.
  • Krogel JT; Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
  • Hongo K; Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
  • Maezono R; Research Center for Advanced Computing Infrastructure, JAIST, Asahidai 1-1, Nomi, Ishikawa 923-1292, Japan.
  • Reboredo FA; School of Information Science, JAIST, Asahidai 1-1, Nomi, Ishikawa 923-1292, Japan.
J Chem Phys ; 159(16)2023 Oct 28.
Article em En | MEDLINE | ID: mdl-37888761
Pseudopotential locality errors have hampered the applications of the diffusion Monte Carlo (DMC) method in materials containing transition metals, in particular oxides. We have developed locality error free effective core potentials, pseudo-Hamiltonians, for transition metals ranging from Cr to Zn. We have modified a procedure published by some of us in Bennett et al. [J. Chem. Theory Comput. 18, 828 (2022)]. We carefully optimized our pseudo-Hamiltonians and achieved transferability errors comparable to the best semilocal pseudopotentials used with DMC but without incurring in locality errors. Our pseudo-Hamiltonian set (named OPH23) bears the potential to significantly improve the accuracy of many-body-first-principles calculations in fundamental science research of complex materials involving transition metals.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article