Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1546479
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Physical Review B
- Additional Journal Information:
- Journal Name: Physical Review B Journal Volume: 100 Journal Issue: 2; Journal ID: ISSN 2469-9950
- Publisher:
- American Physical Society
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Li, Shaozhi, Dee, Philip M., Khatami, Ehsan, and Johnston, Steven. Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model. United States: N. p., 2019.
Web. doi:10.1103/PhysRevB.100.020302.
Li, Shaozhi, Dee, Philip M., Khatami, Ehsan, & Johnston, Steven. Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model. United States. https://doi.org/10.1103/PhysRevB.100.020302
Li, Shaozhi, Dee, Philip M., Khatami, Ehsan, and Johnston, Steven. Mon .
"Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model". United States. https://doi.org/10.1103/PhysRevB.100.020302.
@article{osti_1546479,
title = {Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model},
author = {Li, Shaozhi and Dee, Philip M. and Khatami, Ehsan and Johnston, Steven},
abstractNote = {},
doi = {10.1103/PhysRevB.100.020302},
journal = {Physical Review B},
number = 2,
volume = 100,
place = {United States},
year = {Mon Jul 22 00:00:00 EDT 2019},
month = {Mon Jul 22 00:00:00 EDT 2019}
}
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https://doi.org/10.1103/PhysRevB.100.020302
https://doi.org/10.1103/PhysRevB.100.020302
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Cited by: 12 works
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