A Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy Surfaces

标题
A Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy Surfaces
作者
关键词
-
出版物
JOURNAL OF PHYSICAL CHEMISTRY A
Volume -, Issue -, Pages -
出版商
American Chemical Society (ACS)
发表日期
2020-05-29
DOI
10.1021/acs.jpca.0c02395

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