A budget-dependent crossover between coverage- and response-based training-set selection for machine-learned interatomic potentials
These findings establish retained-data budget as a deciding variable in atomistic training-set selection and provide a direct test of when response-guided compression improves on structural Coverage, showing that learned similarity preserves the coverage ranking.
Jiancheng Bi, Alin M. Elena
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