Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

Berlin panorama A_Peach, CC BY 2.0, via Wikimedia Commons

Deep Orthogonal Decomposition via Mesh-Informed Neural Networks for Reduced Order Modeling of parametrized PDEs
Nicola Franco  1, @  , Andrea Manzoni  1  , Paolo Zunino  1  
1 : Modeling and Scientific Computing [Milano]
Subject : : oral
Topics : Machine learning/deep learning and model order reduction
Topics : Session 7
PDF version :  PDF version
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