Deep machine learning potentials for multicomponent metallic melts: development, predictability and compositional transferability

R. E. Ryltsev, N. M. Chtchelkatchev

The use of machine learning interatomic potentials (MLIPs) in simulations of materials is a state-of-the-art approach, which allows achieving nearly \textit{ab initio} accuracy wit…