
generation and
data-driven approaches for accelerating atomistic simulations. ... The
Data-Driven Materials Design group at the INM – Leibniz Institute for New Materials in Saarbrücken ... Machine-learned interatomic potentials, including atomistic foundation models Active learning and
data ... generation strategies for atomistic modelling and beyond
Data-driven acceleration of atomistic simulations ... Your tasks Conduct independent research in
data-driven materials design Develop and implement novel machine