most citedUniversal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2025★ 14 cited

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Fei Shuang, Zixiong Wei, Kai Liu +2

Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning…