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cs.LG2025
Microstructure-based Variational Neural Networks for Robust Uncertainty Quantification in Materials Digital Twins
Andreas E. Robertson, Samuel B. Inman, Ashley T. Lenau +4
Aleatoric uncertainties - irremovable variability in microstructure morphology, constituent behavior, and processing conditions - pose a major challenge to developing uncertainty-r…
cs.LG2025
Training Variation of Physically-Informed Deep Learning Models
Ashley Lenau, Dennis Dimiduk, Stephen R. Niezgoda
A successful deep learning network is highly dependent not only on the training dataset, but the training algorithm used to condition the network for a given task. The loss functio…