TACS-GNN-ODMN infers micromechanical parameters from arbitrary polycrystal textures to build generalizable ODMN surrogates that predict nonlinear responses and texture evolution without retraining.
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A Texture-Generalizable Deep Material Network via Orientation-Aware Interaction Learning for Polycrystal Modeling and Texture Evolution
TACS-GNN-ODMN infers micromechanical parameters from arbitrary polycrystal textures to build generalizable ODMN surrogates that predict nonlinear responses and texture evolution without retraining.