2018
DOI: 10.1103/physrevb.98.075107
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Swift GW beyond 10,000 electrons using sparse stochastic compression

Abstract: We introduce the concept of fractured stochastic orbitals (FSOs), short vectors that sample a small number of space points and enable an efficient stochastic sampling of any general function. As a first demonstration, FSOs are applied in conjunction with simple direct-projection to accelerate our recent stochastic GW technique; the new developments enable accurate prediction of G0W0 quasiparticle energies and gaps for systems with up to Ne > 10, 000 electrons, with small statistical errors of ±0.05 eV and usin… Show more

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Cited by 64 publications
(126 citation statements)
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“…This method uses fundamentally the same techniques needed for local‐potential DFT, which handle efficiently cells with up to 10,000 electrons, and scale mildly, as O(N e 2 ) where N e is the number of electrons in the system. Note that in practice even a few hundred samples are sufficient to describe the long‐range exact exchange so the combined deterministic‐stochastic method is only about two to five times more expensive than traditional deterministic local‐potential DFT …”
Section: Notes On the Computational Methodsmentioning
confidence: 99%
“…This method uses fundamentally the same techniques needed for local‐potential DFT, which handle efficiently cells with up to 10,000 electrons, and scale mildly, as O(N e 2 ) where N e is the number of electrons in the system. Note that in practice even a few hundred samples are sufficient to describe the long‐range exact exchange so the combined deterministic‐stochastic method is only about two to five times more expensive than traditional deterministic local‐potential DFT …”
Section: Notes On the Computational Methodsmentioning
confidence: 99%
“…This method was applied to the G 0 W 0 approximation as described in earlier publications. 56,60,61 In contrast to the previous work, the starting point is no longer constrained to DFT with local functionals. The stochastic formulation of Σ GW Γ X c is a new development.…”
Section: Computational Methodologymentioning
confidence: 99%
“…This is consistent with previous observations. 56,[59][60][61]76 In practice, stochastic computation of the induced charge density requires only a few random states η (typically between 4 and 20), i.e., the number of states that are propagated by Eq. 42 is much smaller than the number of occupied states.…”
Section: Stochastic Induced Time-dependent Density and Density Matrixmentioning
confidence: 99%
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