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20172025
most citedTemperature-dependent elastic properties of binary and multicomponent high-entropy refractory carbides

64 citations · 130 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2023

Machine-learning potentials for nanoscale simulations of deformation and fracture: example of TiB ceramic

Shuyao Lin, Luis Casillas-Trujillo, Ferenc Tasnádi +4

Machine-learning interatomic potentials (MLIPs) offer a powerful avenue for simulations beyond length and timescales of ab initio methods. Their development for investigation of me…