114 citations · 192 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2023★ 29 cited
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…
cond-mat.mtrl-sci2023★ 8 cited
On energetics of allotrope transformations in transition-metal diborides via plane-by-plane shearing
Thomas Leiner, Nikola Koutná, Jozef Janovec +3
Transition metal diborides crystallise in the , , or type structure, in which pure transition metal layers alternate with pure boron layers stacked along the hexagonal [0…