Efficient Training of Machine Learning Potentials by a Randomized Atomic-System Generator
Author:
Affiliation:
1. Department of Physics, POSTECH, Cheongam-ro 77, Pohang 37673, Republic of Korea
Funder
National Research Foundation of Korea
Korea Institute of Science and Technology Information
Publisher
American Chemical Society (ACS)
Subject
Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.0c05075
Reference46 articles.
1. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
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