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

Title
sGDML: Constructing accurate and data efficient molecular force fields using machine learning
Authors
Keywords
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
Journal
COMPUTER PHYSICS COMMUNICATIONS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-03-01
DOI
10.1016/j.cpc.2019.02.007

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