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most citedLearning Together: Towards foundational models for machine learning interatomic potentials with meta-learning

5 citations · 12 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2024

Toward machine learning interatomic potentials for modeling uranium mononitride

Lorena Alzate-Vargas, Kashi N. Subedi, Nicholas Lubbers +4

Uranium mononitride (UN) is a promising accident-tolerant fuel because of its high fissile density and high thermal conductivity. In this study, we developed the first machine lear…