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Title: Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
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. doi: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. doi: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 = {2019},
month = {7}
}

Journal Article:
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This content will become publicly available on July 21, 2020
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