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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…
cond-mat.mtrl-sci2024★ 10 cited
Physical origin of enhanced electrical conduction in aluminum-graphene composites
K. Nepal, C. Ugwumadu, K. N. Subedi +2
The electronic and transport properties of aluminum-graphene composite materials were investigated using ab initio plane wave density functional theory. The interfacial structure i…