PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments, and Partial Charges
Author:
Affiliation:
1. Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
Funder
Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung
Universit?t Basel
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry,Computer Science Applications
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.9b00181
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