Justin S. Smith 人物
相关论文查看全部 (8)
ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
2017Chemical Science引用 2004顶会
Less is more: Sampling chemical space with active learning
2018The Journal of Chemical Physics引用 837
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning
2019Nature Communications引用 649顶会
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens
2020Journal of Chemical Theory and Computation引用 394
相关公司查看全部 (3)
Los Alamos National LaboratoryRESEARCH_INSTITUTE
University of FloridaUNIVERSITY
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