Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative
K Kurgyis, P Achtziger-Zupančič, M Bjorge… - Environmental Earth …, 2024 - Springer
Abstract The Federal Company for Radioactive Waste Disposal (BGE mbH) is tasked with
the selection of a site for a high-level radioactive waste repository in Germany in accordance …
the selection of a site for a high-level radioactive waste repository in Germany in accordance …
Uncertainty quantification and propagation in surrogate-based Bayesian inference
Surrogate models are statistical or conceptual approximations for more complex simulation
models. In this context, it is crucial to propagate the uncertainty induced by limited simulation …
models. In this context, it is crucial to propagate the uncertainty induced by limited simulation …
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY
I Kröker, T Brünnette, N Wildt… - International Journal …, 2025 - dl.begellhouse.com
Machine learning, surrogate modeling, and uncertainty quantification pose challenges in
data-poor applications that arise due to limited availability of measurement data or with …
data-poor applications that arise due to limited availability of measurement data or with …