7 citations · 7 across the 3 of their papers we have counts for
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physics.comp-ph2025★ 7 cited
Distillation of atomistic foundation models across architectures and chemical domains
John L. A. Gardner, Daniel F. Thomas du Toit, Chiheb Ben Mahmoud +8
Machine-learned interatomic potentials have transformed computational research in the physical sciences. Recent atomistic `foundation' models have changed the field yet again: trai…
physics.comp-ph2024
Beyond theory driven discovery: hot random search and datum derived structures
Chris J. Pickard
Data driven methods have transformed the prospects of the computational chemical sciences, with machine learned interatomic potentials (MLIPs) speeding up calculations by several o…