Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning
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Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data. However, generation of an accurate and robust training data set remains a c... ...
