Machine learning has emerged as an effective approach for developing predictive models for high-throughput screening of materials 1,2,3,4,5,6,7,8. For example, machine-learned models for formation ...
Invariance. A representation not respecting all the symmetries of the system (non-invariant) requires more training data because the model must learn through the output what was incorrectly fed to the ...