Materials representation and transfer learning for multi-property prediction
Author:
Affiliation:
1. Department of Computer Science, Cornell University, Ithaca, New York 14853, USA
2. Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, USA
Funder
Basic Energy Sciences
Toyota Research Institute
Publisher
AIP Publishing
Subject
General Physics and Astronomy
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0047066
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