sGDML: Constructing accurate and data efficient molecular force fields using machine learning

标题
sGDML: Constructing accurate and data efficient molecular force fields using machine learning
作者
关键词
Machine learning potential, Machine learning force field, Ab initio molecular dynamics, Path integral molecular dynamics, Coupled cluster calculations, Molecular property prediction, Quantum chemistry, Gradient domain machine learning
出版物
COMPUTER PHYSICS COMMUNICATIONS
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2019-03-01
DOI
10.1016/j.cpc.2019.02.007

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