A self-consistent field formulation of excited state mean field theory [electronic resource]

In this work, we show that, as in Hartree-Fock theory, the orbitals for excited state mean field theory can be optimized via a self-consistent one-electron equation in which electron-electron repulsion is accounted for through mean field operators. In addition to showing that this excited state ansa...

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Online Access: Full Text (via OSTI)
Corporate Authors: Lawrence Berkeley National Laboratory (Researcher), Lawrence Berkeley National Laboratory, E-Scholarship Repository, Berkeley, CA (United States)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2020.
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Summary:In this work, we show that, as in Hartree-Fock theory, the orbitals for excited state mean field theory can be optimized via a self-consistent one-electron equation in which electron-electron repulsion is accounted for through mean field operators. In addition to showing that this excited state ansatz is sufficiently close to a mean field product state to admit a one-electron formulation, this approach brings the orbital optimization speed to within roughly a factor of two of ground state mean field theory. The approach parallels Hartree Fock theory in multiple ways, including the presence of a commutator condition, a one-electron mean-field working equation, and acceleration via direct inversion in the iterative subspace. When combined with a configuration interaction singles Davidson solver for the excitation coefficients, the self-consistent field formulation dramatically reduces the cost of the theory compared to previous approaches based on quasi-Newton descent.
Item Description:Published through Scitech Connect.
10/28/2020.
"Journal ID: ISSN 0021-9606."
"Other: ark:/13030/qt223816p1."
": US2204900."
Hardikar, Tarini S. ; Neuscamman, Eric ;
Lawrence Berkeley National Laboratory, E-Scholarship Repository, Berkeley, CA (United States)
Physical Description:Size: Article No. 164108 : digital, PDF file.