2 papers
physics.chem-ph2025
Development of machine-learned interatomic potentials to predict structure, transport, and reactivity in platinum-based fuel cells
Kamron Fazel, Sam Brown, Jacob Clary +5
Machine-learned interatomic potentials (MLIPs) have rapidly progressed in accuracy, speed, and data efficiency in recent years. However, training robust MLIPs in multicomponent sys…
cond-mat.mtrl-sci2020
Alloying behavior of wide band gap alkaline-earth chalcogenides
Samantha L. Millican, Jacob M. Clary, Christopher J. Bartel +3
Alloying is a powerful tool for tuning materials that facilitates the targeted design of desirable properties for a variety of applications. In this work, we provide a comprehensiv…