Localized model order reduction and domain decomposition methods for coupled heterogeneous systems

We propose a model order reduction technique to accurately approximate the behavior of multi-component systems without any a-priori knowledge coupled model. In offline phase, we construct independent surrogate models by solving local problems with parametrized interface boundary conditions, while combine them using domain decomposition techniques during online phase. show potential proposed approach in terms accuracy, computational performance and robustness series test cases, including nonlinear multi-physics problems.