3 papers
physics.flu-dyn2026
Data-Driven Equation Discovery for Nonlinear Liquid Film Flows
Sebastian T. Dooley, Albert P. Bartók, James E. Sprittles +1
Over the past decade data-driven equation discovery emerged as a powerful alternative to first principles-based methodologies traditionally used in mathematical modelling cycles. T…
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…