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Title: Self-learning Monte Carlo method: Continuous-time algorithm

Authors:
; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1396308
Grant/Contract Number:
SC0010526
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Physical Review B
Additional Journal Information:
Journal Volume: 96; Journal Issue: 16; Related Information: CHORUS Timestamp: 2017-10-03 10:49:18; Journal ID: ISSN 2469-9950
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Nagai, Yuki, Shen, Huitao, Qi, Yang, Liu, Junwei, and Fu, Liang. Self-learning Monte Carlo method: Continuous-time algorithm. United States: N. p., 2017. Web. doi:10.1103/PhysRevB.96.161102.
Nagai, Yuki, Shen, Huitao, Qi, Yang, Liu, Junwei, & Fu, Liang. Self-learning Monte Carlo method: Continuous-time algorithm. United States. doi:10.1103/PhysRevB.96.161102.
Nagai, Yuki, Shen, Huitao, Qi, Yang, Liu, Junwei, and Fu, Liang. Tue . "Self-learning Monte Carlo method: Continuous-time algorithm". United States. doi:10.1103/PhysRevB.96.161102.
@article{osti_1396308,
title = {Self-learning Monte Carlo method: Continuous-time algorithm},
author = {Nagai, Yuki and Shen, Huitao and Qi, Yang and Liu, Junwei and Fu, Liang},
abstractNote = {},
doi = {10.1103/PhysRevB.96.161102},
journal = {Physical Review B},
number = 16,
volume = 96,
place = {United States},
year = {Tue Oct 03 00:00:00 EDT 2017},
month = {Tue Oct 03 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on October 3, 2018
Publisher's Accepted Manuscript

Citation Metrics:
Cited by: 3 works
Citation information provided by
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