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Title: Advances in machine learned potentials for molecular dynamics simulation

Abstract

No abstract provided.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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:
1477636
Report Number(s):
LA-UR-18-29734
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
Computer Science

Citation Formats

Barros, Kipton Marcos. Advances in machine learned potentials for molecular dynamics simulation. United States: N. p., 2018. Web. doi:10.2172/1477636.
Barros, Kipton Marcos. Advances in machine learned potentials for molecular dynamics simulation. United States. doi:10.2172/1477636.
Barros, Kipton Marcos. Sat . "Advances in machine learned potentials for molecular dynamics simulation". United States. doi:10.2172/1477636. https://www.osti.gov/servlets/purl/1477636.
@article{osti_1477636,
title = {Advances in machine learned potentials for molecular dynamics simulation},
author = {Barros, Kipton Marcos},
abstractNote = {No abstract provided.},
doi = {10.2172/1477636},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Technical Report:

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