High-dimensional neural network potentials for accurate vibrational frequencies: The formic acid dimer benchmark

Dilshana Shanavas Rasheeda, Alberto Martín Santa Daría, Benjamin Schröder +2

In recent years, machine learning potentials (MLP) for atomistic simulations have attracted a lot of attention in chemistry and materials science. Many new approaches have been dev…