Machine Learning Approaches Toward Orbital-free Density Functional Theory: Simultaneous Training on the Kinetic Energy Density Functional and its Functional Derivative

标题
Machine Learning Approaches Toward Orbital-free Density Functional Theory: Simultaneous Training on the Kinetic Energy Density Functional and its Functional Derivative
作者
关键词
-
出版物
出版商
American Chemical Society (ACS)
发表日期
2020-08-11
DOI
10.1021/acs.jctc.0c00580

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