A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi +3

The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. Whil…