Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials

Title
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials
Authors
Keywords
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Journal
Journal of Chemical Theory and Computation
Volume 16, Issue 8, Pages 5410-5421
Publisher
American Chemical Society (ACS)
Online
2020-07-17
DOI
10.1021/acs.jctc.0c00347

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