Data-centric approach to improve machine learning models for inorganic materials
1Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
Patterns (New York, N.Y.)
|November 25, 2021
Abstract:
Pandey et al. (2021) demonstrate the importance of diversifying training data to make balanced predictions of thermodynamic properties for inorganic crystals.
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