2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
How reproducible are first-principles simulations of liquid water?
Niamh ONeill, Benjamin X. Shi, William J. Baldwin +5
Liquid water is fundamentally important, and its accurate computer simulation has been the driving force for myriad methodological developments. Ab initio molecular dynamics with f…
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…
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…