Transfer learning for chemically accurate interatomic neural network potentials

Viktor Zaverkin, David Holzmüller, Luca Bonfirraro +1

Developing machine learning-based interatomic potentials from ab-initio electronic structure methods remains a challenging task for computational chemistry and materials science. T…