Stochastic evaluation of fourth-order many-body perturbation energies
Abstract
A scalable, stochastic algorithm evaluating the fourth-order many-body perturbation (MP4) correction to energy is proposed. Three hundred Goldstone diagrams representing the MP4 correction are computer generated and then converted into algebraic formulas expressed in terms of Green’s functions in real space and imaginary time. They are evaluated by the direct (i.e., non-Markov, non-Metropolis) Monte Carlo (MC) integration accelerated by the redundant-walker and control-variate algorithms. The resulting MC-MP4 method is efficiently parallelized and is shown to display O(n5.3) size-dependence of cost, which is nearly two ranks lower than the O(n7) dependence of the deterministic MP4 algorithm. Furthermore, it evaluates the MP4/aug-cc-pVDZ energy for benzene, naphthalene, phenanthrene, and corannulene with the statistical uncertainty of 10 mEh (1.1% of the total basis-set correlation energy), 38 mEh (2.6%), 110 mEh (5.5%), and 280 mEh (9.0%), respectively, after about 109 MC steps.
- Authors:
-
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Publication Date:
- Research Org.:
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division; USDOE
- OSTI Identifier:
- 1774417
- Alternate Identifier(s):
- OSTI ID: 1774704
- Grant/Contract Number:
- SC0006028; SPEC
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Chemical Physics
- Additional Journal Information:
- Journal Volume: 154; Journal Issue: 13; Journal ID: ISSN 0021-9606
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 74 ATOMIC AND MOLECULAR PHYSICS; Correlation energy; Perturbation theory; Monte Carlo methods; Many body perturbation calculations; Stochastic processes
Citation Formats
Doran, Alexander E., and Hirata, So. Stochastic evaluation of fourth-order many-body perturbation energies. United States: N. p., 2021.
Web. doi:10.1063/5.0047798.
Doran, Alexander E., & Hirata, So. Stochastic evaluation of fourth-order many-body perturbation energies. United States. https://doi.org/10.1063/5.0047798
Doran, Alexander E., and Hirata, So. Wed .
"Stochastic evaluation of fourth-order many-body perturbation energies". United States. https://doi.org/10.1063/5.0047798. https://www.osti.gov/servlets/purl/1774417.
@article{osti_1774417,
title = {Stochastic evaluation of fourth-order many-body perturbation energies},
author = {Doran, Alexander E. and Hirata, So},
abstractNote = {A scalable, stochastic algorithm evaluating the fourth-order many-body perturbation (MP4) correction to energy is proposed. Three hundred Goldstone diagrams representing the MP4 correction are computer generated and then converted into algebraic formulas expressed in terms of Green’s functions in real space and imaginary time. They are evaluated by the direct (i.e., non-Markov, non-Metropolis) Monte Carlo (MC) integration accelerated by the redundant-walker and control-variate algorithms. The resulting MC-MP4 method is efficiently parallelized and is shown to display O(n5.3) size-dependence of cost, which is nearly two ranks lower than the O(n7) dependence of the deterministic MP4 algorithm. Furthermore, it evaluates the MP4/aug-cc-pVDZ energy for benzene, naphthalene, phenanthrene, and corannulene with the statistical uncertainty of 10 mEh (1.1% of the total basis-set correlation energy), 38 mEh (2.6%), 110 mEh (5.5%), and 280 mEh (9.0%), respectively, after about 109 MC steps.},
doi = {10.1063/5.0047798},
journal = {Journal of Chemical Physics},
number = 13,
volume = 154,
place = {United States},
year = {Wed Apr 07 00:00:00 EDT 2021},
month = {Wed Apr 07 00:00:00 EDT 2021}
}
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