146 citations · 164 across the 4 of their papers we have counts for
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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…