GW with hybrid functionals for large molecular systems

A low-cost approach for stochastically sampling static exchange during time-dependent Hartree-Fock-type propagation is presented. This enables the use of an excellent hybrid density functional theory (DFT) starting point for stochastic GW quasiparticle energy calculations. Generalized Kohn-Sham molecular orbitals and energies, rather than those of a local-DFT calculation, are used for building the Green function and effective Coulomb interaction. The use of an optimally tuned hybrid diminishes the starting point dependency in one-shot stochastic GW, effectively avoiding the need for self-consistent GW iterations.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2024-09-19
DOI
https://doi.org/10.1063/5.0219839
Citations
3
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.81

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article

GW with hybrid functionals for large molecular systems

Minh Nguyen, Tucker Allen, Daniel Neuhauser
3 citations
The Journal of Chemical Physics
Energetic Materials and Combustion
0.81
article

GW with hybrid functionals for large molecular systems

Minh Nguyen, Tucker Allen, Daniel Neuhauser
article en
3 citations

Abstract

A low-cost approach for stochastically sampling static exchange during time-dependent Hartree-Fock-type propagation is presented. This enables the use of an excellent hybrid density functional theory (DFT) starting point for stochastic GW quasiparticle energy calculations. Generalized Kohn-Sham molecular orbitals and energies, rather than those of a local-DFT calculation, are used for building the Green function and effective Coulomb interaction. The use of an optimally tuned hybrid diminishes the starting point dependency in one-shot stochastic GW, effectively avoiding the need for self-consistent GW iterations.

The Journal of Chemical PhysicsVol. 161(11)
University of California, Los Angeles (US)
U.S. Department of Energy
Openalex Percentile: Top 33%
Energetic Materials and Combustion
0.81
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