Preprint
Jul 2026
Data-Efficient Training of Linear ACE Potentials through Leverage-Guided Subset Selection of ASSYST Structure Pools
It is demonstrated that descriptor-space-guided, label-free subsampling can significantly reduce DFT workload for linear ACE models trained on ASSYST structure pools without degrading defect-level fidelity.
Aynour Khosravi, M. Poul, J. Neugebauer et al.
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