2 papers
cs.CE2026
Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks
Aryan Tyagi, Alex de Beer, Tiangang Cui +1
Structural reliability evaluation for composites constitutes a fundamentally high-dimensional multiscale problem, as microscale material uncertainties must propagate to the macrosc…
stat.AP2025
Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
Alex de Beer, Andrew Power, Daniel Wong +7
The ability to make accurate predictions with quantified uncertainty provides a crucial foundation for the successful management of a geothermal reservoir. Conventional approaches…