IS049A Numerical methods that enable the heterogeneous coupling of conventional and data-driven models for multi-scale and multi-physics problems I
Main Organizer: Dr. Irina Tezaur (Sandia National Laboratories)
Chaired by:
Dr. Irina Tezaur (Sandia National Laboratories , United States) , Dr. tommaso taddei (INRIA Bordeaux South-West , France)
Dr. Irina Tezaur (Sandia National Laboratories , United States) , Dr. tommaso taddei (INRIA Bordeaux South-West , France)
Scheduled presentations:
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Keynote
Advancing Scientific Machine Learning for Coupled Problems in Industrial Engineering
W. Schilders -
A non-overlapping optimization-based domain decomposition approach to model reduction of coupled problems
L. Zhang, T. Taddei, X. Xu -
Decomposition and Model Selection Optimization for Schwarz-based Coupling of Data-driven Models
C. Wentland*, A. Gruber, A. Mota, E. Parish, I. Tezaur -
A time-adaptive solver for pressure dominated flows in CFD and FSI: domain decomposition and model reduction
D. Torlo*, I. Prusak, M. Nonino, G. Rozza -
DG-based domain decomposable reduced order models and repartitioning strategies: applications to biomedical models
F. Romor, A. Caiazzo