3 papers
cond-mat.mtrl-sci2026
Interface-Controlled Defect Engineering in TiN/TaN Superlattices for Enhanced Hardness and Fracture Toughness
Zecui Gaoa, Qimin Wang, Julian Buchinger +6
TiNTaN superlattice coatings were designed to investigate how atomic-scale interface chemistry and defect-stabilized TaN layers govern hardness and fracture toughness. Guided by fi…
cond-mat.mtrl-sci2025
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…
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…