Exploring Potential Energy Surfaces Using Reinforcement Machine Learning.

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第一作者： Alexis W,Mills

第一单位： Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.

作者： Alexis W,Mills ^[1] ; Joshua J,Goings ^[1] ; David,Beck ^[2] ; Chao,Yang ^[3] ; Xiaosong,Li ^[1]

作者单位： Department of Chemistry, University of Washington, Seattle, Washington 98195, United States. ^[1] Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States. ^[2] Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States. ^[3]

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DOI 10.1021/acs.jcim.2c00373

PMID 35709515

发布时间 2022-08-08

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Journal of chemical information and modeling

2022年62卷13期

3169-3179页

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Exploring Potential Energy Surfaces Using Reinforcement Machine Learning.

Journal of chemical information and modeling

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Exploring Potential Energy Surfaces Using Reinforcement Machine Learning.

Journal of chemical information and modeling

相似文献

Journal of chemical information and modeling

相关期刊

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