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…