most citedFine-tuning foundation models of materials interatomic potentials with frozen transfer learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2025★ 2 cited

Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning

Mariia Radova, Wojciech G. Stark, Connor S. Allen +2

Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training d…