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Bayesian neural networks for predicting uncertainty in full-field material re...
The dataset is used for stress field prediction and uncertainty quantification for diverse materials microstructures. -
Deep autoencoders for physics-constrained data-driven nonlinear materials mod...
Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the...