The Model Reduction and Surrogate Modeling 2024 (MORe24) conference, held from September 9-13, 2024, at the Scripps Seaside Forum on the campus of the University of California, San Diego, is a pivotal event in the field of computational science. This prestigious gathering brings together leading researchers, engineers, and experts from academia, industry, and national laboratories to discuss cutting-edge developments in model reduction and surrogate modeling for high-dimensional complex systems.
The University of Stuttgart’s SimTech Cluster of Excellence is prominently represented at MORe24, with seven researchers from different career levels showcasing the depth of expertise that SimTech brings to this dynamic field.
Bernard Haasdonk, a Participating Researcher at SimTech, serves on the Scientific Committee of the conference. He chairs Session 15 "Stochastic ROMs and Randomized Methods" and presents in Session 14 "ML" on "Kernel-based greedy collocation schemes for approximation of high-dimensional PDE boundary value problems".
Another SimTech contributor is Benjamin Unger, junior research group leader at SimTech, who serves as chair of Session 6 "Structure-preserving Model Reduction" and presents in Session 7 "Structure-preserving Model Reduction" on "Beyond linear - a differential geometric framework for nonlinear projections".
Several SimTech doctoral researchers also share their work: Jonas Nicodemus ("Learning passive dynamical systems via spectral factorization") and Robin Herkert ("Randomized symplectic model order reduction for Hamiltonian systems") present their research in Session 6, Johannes Rettberg ("Data-driven identification of reduced port-Hamiltonian systems") in Session 7, and Jonas Kneifl ("VENI, VINDy, VICI : A variational method to build ROMs with embedded uncertainty quantification") as well as Birgit Hillebrecht ("An application of a posteriori error quantification for physics-informed neural networks") in Session 14.
Their collective contributions reflect the broad and deep expertise that SimTech brings to the field, reinforcing its reputation as a leading force in model order reduction and surrogate modelling as well as underlining SimTech’s commitment to fostering innovation and international collaboration in the field. Nicodemus, Kneifl, and Herkert, have already made impacts on the community, having organized and hosted YMMOR 2024 in Stuttgart earlier this year, where they were joined by fellow SimTech researcher Johannes Rettberg.
The field of model order reduction and surrogate modeling has gained immense importance due to its relevance in approximating complex systems with efficient, low-dimensional models. The conference will address key challenges such as data sparsity, the multiscale nature of data, and the creation of models that can extrapolate reliably over time and across varying input parameters. By combining insights from applied and computational mathematics, computer science, and multiple engineering disciplines, this research is critical for addressing some of today’s most pressing scientific and industrial challenges.