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Title: Machine Learning Assisted Monte Carlo Methods for the Studies of Materials Properties

Authors:
ORCiD logo [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1545751
Report Number(s):
LA-UR-19-27508
DOE Contract Number:  
89233218CNA000001
Resource Type:
Conference
Resource Relation:
Conference: XXXI IUPAP Conference on Computational Physics ; 2019-07-28 - 2019-08-01 ;
Country of Publication:
United States
Language:
English

Citation Formats

Li, Ying Wai. Machine Learning Assisted Monte Carlo Methods for the Studies of Materials Properties. United States: N. p., 2019. Web.
Li, Ying Wai. Machine Learning Assisted Monte Carlo Methods for the Studies of Materials Properties. United States.
Li, Ying Wai. Tue . "Machine Learning Assisted Monte Carlo Methods for the Studies of Materials Properties". United States. https://www.osti.gov/servlets/purl/1545751.
@article{osti_1545751,
title = {Machine Learning Assisted Monte Carlo Methods for the Studies of Materials Properties},
author = {Li, Ying Wai},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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