2 papers
cs.CE2026
Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs
Timm Gödde, Bojana RosiÄ
Ensemble Kalman filters (EnKF) provide an efficient framework for parameter identification of physics based laws from spatially distributed measurements. Their forecast models requ…
cs.CE2026
Domain decomposition of large neural network surrogate models
Timm Gödde, Eisso H. Atzema, Bojana RosiÄ
Neural networks (NNs) have gained significant attention across various engineering disciplines, particularly in design optimization, where they are used to build surrogate models f…