activity
20232025
most citedData-driven methods for diffusivity prediction in nuclear fuels

14 citations · 22 across the 3 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…