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cond-mat.mtrl-sci2026
Learning Between the Lines: Interaction Interpolation in a Multi Element Machine Learning Interatomic Potential
Ademola Soyemi, Kipton Barros, Timothy C. Germann +2
The continuous development of machine learning inter-atomic potentials (MLIAPs)has greatly accelerated materials research in recent years. However, the need to con- struct custom M…
cond-mat.mtrl-sci2026
Stoichiometry Dependent Properties of Cerium Hydride: An Active Learning Developed Interatomic Potential Study
Brenden W. Hamilton, Travis E. Jones, Timothy C. Germann +1
Cerium hydride has a variety of interesting properties, including a known lattice contraction and densification with increasing hydrogen content. However, precise stoichiometric co…