The potential for machine learning in hybrid QM/MM calculations
Author:
Affiliation:
1. Department of Chemistry, Brown University, Providence, Rhode Island 02912, USA
2. School of Engineering, Brown University, Providence, Rhode Island 02912, USA
Funder
Office of Naval Research
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://aip.scitation.org/doi/am-pdf/10.1063/1.5029879
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