Lars Hultman

Vacancy diffusion in transition metal diborides using diverse machine-learning potentials

Machine-learning interatomic potential (MLIP)-based molecular dynamics enables efficient exploration of mass-transport mechanisms in complex materials together with quantitative determination of diffusion coefficients at finite temperatures. Using an identical training dataset, w...