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

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cond-mat.mtrl-sci2024★ 5 cited

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…