GB-Strengthened Superhard
Atomic volume mismatch drives grain boundary segregation to enhance cohesion, with multi-objective optimization yielding superhard compositional domains.
Yalin, Li · Sirui, Xu · Zhao, Shijun · Zhang, Kan · Wu, Zhenggang
Journal of Materials Science and Technology 2027
Elemental segregation arising from chemical disorder in multicomponent transition metal carbides significantly enhances grain boundary cohesion, effectively mitigating mechanical degradation.
Segregation energy correlates approximately linearly with atomic volume difference, with smaller-volume elements segregating more strongly, enabling straightforward composition screening.
A co-segregation model accurately quantifies elemental concentrations at grain boundaries, overcoming the challenge of predicting segregation in multicomponent systems.
Multi-objective optimization enables rapid exploration of compositional spaces, with an experimentally validated superhard domain, significantly shortening the material development cycle.