8/6/22    14:00 - 16:00
Reduced order modeling of dynamical systems through deep learning techniques II  
Minisymposium organized by Andrea Manzoni, Mengwu Guo and Paris Perdikaris
Room: B1 1
Chair: Andrea Manzoni
On the employ of inductive biases for the development of learned simulators
Quercus Hernandez, Alberto Badias, Francisco Chinesta and Elias Cueto

Physics-informed neural networks as reduced simulation models for bioreactor and crystallisation modeling
Daniel Wolff, Konstantin Key, Eric von Lieres and Stefanie Elgeti

Deep-HyROMnet: a deep learning-based operator approximation for model order reduction in structural mechanics
Ludovica Cicci, Stefania Fresca and Andrea Manzoni

Active learning and time-series prediction for non-intrusive model reduction
Harshit Kapadia, Lihong Feng and Peter Benner

Machine learning accelerated dynamic analysis of stochastic nonlinear structures
Stefanos Nikolopoulos, Ioannis Kalogeris and Vissarion Papadopoulos