High-quality, high-information datasets for universal atomistic machine learning

Cesare Malosso, Filippo Bigi, Paolo Pegolo +5

The quality, consistency, and information content of training data is often what determines the practical value of machine-learning models for atomistic simulations. Yet, many wide…