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Embedding Model-form Uncertainty in Probabilistic Calibration of Digital Twins for Bridges
Daniel Andrés Arcones, Martin Weiser, Phaedon-Stelios Koutsourelakis +1
Digital twins of bridges rely on physics-based models to infer full-field structural responses from sparse monitoring data. The reliability of these predictions depends on the cali…
Scalable High-Dimensional Bayesian Field Reconstruction with Finite Elements: Application to 3D Porous Media Flow
Jonas Nitzler, Maximilian Bergbauer, Phaedon-Stelios Koutsourelakis +1
We present a unified, finite-element-native variational inference framework for very high-dimensional Bayesian spatial field reconstruction in physics-based problems governed by pa…
GenPANIS: A Latent-Variable Generative Framework for Forward and Inverse PDE Problems in Multiphase Media
Matthaios Chatzopoulos, Phaedon-Stelios Koutsourelakis
Inverse problems and inverse design in multiphase media, i.e., recovering or engineering microstructures to achieve target macroscopic responses, require operating on discrete-valu…