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stat.ML2026
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
Purna Vindhya Kota, Meer Mehran Rashid, Somdatta Goswami +1
Predicting stress fields in hyperelastic materials with complex microstructures remains challenging for traditional deep learning surrogates, which struggle to capture both sharp s…
stat.ML2024
Bayesian neural networks for predicting uncertainty in full-field material response
George D. Pasparakis, Lori Graham-Brady, Michael D. Shields
Stress and material deformation field predictions are among the most important tasks in computational mechanics. These predictions are typically made by solving the governing equat…