Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements

Sebastien Röcken, Julija Zavadlav

Machine Learning Potentials (MLPs) can enable simulations of ab initio accuracy at orders of magnitude lower computational cost. However, their effectiveness hinges on the availabi…