Predictive power of polynomial machine learning potentials for liquid states in 22 elemental systems

Hayato Wakai, Atsuto Seko, Hirosato Izuta +2

The polynomial machine learning potentials (MLPs) described by polynomial rotational invariants have been systematically developed for various systems and used in diverse applicati…