46 citations · 131 across the 14 of their papers we have counts for
5 papers · 1 filter
Atomistic and data-driven insights into the local slip resistances in random refractory multi-principal element alloys
Wu-Rong Jian, Arjun S. Kulathuvayal, Hanfeng Zhai +5
Refractory multi-principal element alloys (RMPEAs) have attracted growing interest for their exceptional high-temperature strength, yet their complex compositions hinder a mechanis…
Link Statistics of Dislocation Network during Strain Hardening
Sh. Akhondzadeh, Hanfeng Zhai, Wurong Jian +3
Dislocations are line defects in crystals that multiply and self-organize into a complex network during strain hardening. The length of dislocation links, connecting neighboring no…
Stress Predictions in Polycrystal Plasticity using Graph Neural Networks with Subgraph Training
Hanfeng Zhai
Numerical modeling of polycrystal plasticity is computationally intensive. We employ Graph Neural Networks (GNN) to predict stresses on complex geometries for polycrystal plasticit…
Benchmarking Inverse Optimization Algorithms for Materials Design
Hanfeng Zhai, Hongxia Hao, Jingjie Yeo
Machine learning-based inverse materials discovery has attracted enormous attention recently due to its flexibility in dealing with black box models. Yet, many metaheuristic algori…
Multiscale mechanics of thermal gradient coupled graphene fracture: A molecular dynamics study
Hanfeng Zhai, Jingjie Yeo
The thermo-mechanical coupling mechanism of graphene fracture under thermal gradients possesses rich applications whereas is hard to study due to its coupled non-equilibrium nature…