A GNN-LSTM surrogate trained on Voronoi-cell homogenized nonlinear FE data predicts unseen SFT microstructure responses with R²≈0.98 and >100x speedup over direct FE.
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On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks
A GNN-LSTM surrogate trained on Voronoi-cell homogenized nonlinear FE data predicts unseen SFT microstructure responses with R²≈0.98 and >100x speedup over direct FE.