41 citations · 58 across the 4 of their papers we have counts for
5 papers
Machine learning of twin/matrix interfaces from local stress field
Javier F. Troncoso, Yang Hu, Nicolo M. della Ventura +3
Twinning is an important deformation mode in plastically deformed hexagonal close-packed materials. The extremely high twin growth rates at the nanoscale make atomistic simulations…
Embracing the chaos: Alloying adds stochasticity to twin embryo growth
Yang Hu, Vladyslav Turlo, Irene J. Beyerlein +4
High-throughput atomistic simulations reveal the unique effect of solute atoms on twin variant selection in Mg-Al alloys. Twin embryos first undergo a stochastic incubation stage w…
Disconnection-mediated twin embryo growth in Mg
Yang Hu, Vladyslav Turlo, Irene J. Beyerlein +4
While deformation twinning in hexagonal close-packed metals has been widely studied due to its substantial impact on mechanical properties, an understanding of the detailed atomic…
Atomistic modeling of interfacial segregation and structural transitions in ternary alloys
Yang Hu, Timothy J. Rupert
Grain boundary engineering via dopant segregation can dramatically change the properties of a material. For metallic systems, most current studies concerning interfacial segregatio…
Identifying interatomic potentials for the accurate modeling of interfacial segregation and structural transitions
Yang Hu, Jennifer D. Schuler, Timothy J. Rupert
Chemical segregation and structural transitions at interfaces are important nanoscale phenomena, making them natural targets for atomistic modeling, yet interatomic potentials must…