Predicting the dynamic behavior of the mechanical properties of platinum with machine learning
Author:
Affiliation:
1. Department of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
Funder
National Science Foundation
Office of Naval Research
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://aip.scitation.org/doi/am-pdf/10.1063/5.0008955
Reference71 articles.
1. A study of adatom ripening on an Al (1 1 1) surface with machine learning force fields
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5. Misfit-energy-increasing dislocations in vapor-deposited CoFe/NiFe multilayers
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