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cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2025
Multi-Phase Dataset for Ti and Ti-6Al-4V
Connor S. Allen, Albert P. Bartók
Titanium and its alloys are technologically important materials that display a rich phase behaviour. In order to enable large-scale, realistic modelling of Ti and its alloys on the…