97 citations · 286 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2025★ 6 cited
Machine-learning potentials for structurally and chemically complex MAB phases: strain hardening and ripplocation-mediated plasticity
Nikola Koutná, Shuyao Lin, Lars Hultman +2
Though offering unprecedented pathways to molecular dynamics (MD) simulations of technologically-relevant materials and conditions, machine-learning interatomic potentials (MLIPs)…
cond-mat.mtrl-sci2025★ 4 cited
Machine-Learning Potentials Predict Orientation- and Mode-Dependent Fracture in Refractory Diborides
Shuyao Lin, Zhuo Chen, Rebecca Janknecht +5
Fracture toughness () and fracture strength () are key criteria in the selection and design of reliable ceramics. However, their experimental character…