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Volumn 115, Issue 16, 2015, Pages 1074-1083

Adaptive machine learning framework to accelerate ab initio molecular dynamics

Author keywords

ab initio molecular dynamics; accelerate; adaptive; fingerprint; machine learning

Indexed keywords

LEARNING SYSTEMS; MACHINE LEARNING; MOLECULAR DYNAMICS; QUANTUM THEORY;

EID: 84936800621     PISSN: 00207608     EISSN: 1097461X     Source Type: Journal    
DOI: 10.1002/qua.24836     Document Type: Article
Times cited : (410)

References (54)
  • 20
    • 84959532241 scopus 로고    scopus 로고
    • Machine Learning in Materials Science: Recent Progress and Emerging Applications
    • K. B. Lipkowitz, A. L. Parrill-Baker, Eds., Wiley
    • T. Mueller, A. G. Kusne, R. Ramprasad, Machine Learning in Materials Science: Recent Progress and Emerging Applications, in Reviews in Computational Chemistry;, K. B. Lipkowitz, A. L. Parrill-Baker, Eds., Wiley, 2015.
    • (2015) Reviews in Computational Chemistry
    • Mueller, T.1    Kusne, A.G.2    Ramprasad, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.