9/6/22    16:30 - 18:30
Knowledge- and data-driven model order reduction II  
Minisymposium organized by Alaa Armiti-Juber, André Mielke, Felix Fritzen, Benjamin Unger and Tim Ricken
Room: A1 – 2
Chair: André Mielke
Solving parametric PDEs with an enhanced model reduction method based on Linear/Ridge expansions
Constantin Greif, Philipp Junk and Karsten Urban

Neural networks with embedded physics-based material models to accelerate multiscale finite element simulations
Marina Maia, Iuri Rocha and Frans van der Meer

Active-learning-based non-intrusive model order reduction
Qinyu Zhuang, Dirk Hartmann, Hans -J. Bungartz and Juan M. Lorenzi

Machine-learning prediction of microscopic bubble-growth characteristics
Jan Bureš, Lubomír Bureš, Mattia Bucci and Matteo Bucci