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08 June 2022 14:00 - 16:00
Add Reduced order modeling of dynamical systems through deep learning techniques II Minisymposium organized by Andrea Manzoni, Mengwu Guo and Paris Perdikaris |
Room: B1 – 1 MS125B Chair: Andrea Manzoni |
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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 for non-intrusive model reduction of parametric dynamical systems Harshit Kapadia, Lihong Feng and Peter Benner Machine learning accelerated dynamic analysis of stochastic nonlinear structures Stefanos Nikolopoulos, Ioannis Kalogeris and Vissarion Papadopoulos |
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