Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

Berlin panorama A_Peach, CC BY 2.0, via Wikimedia Commons

Machine learning-based reduced order modelling: Towards intelligent digital twins
George Drakoulas  1, 2  , Theodore Gortsas  1  , Dionisis Pettas  2  , Charilaos Kokkinos  2  , Demosthenes Polyzos  1  
1 : Department of Mechanical Engineering & Aeronautics, University of Patras
2 : FEAC Engineering P.C.
Subject : : poster
Topics : Machine learning/deep learning and model order reduction
Topics : Poster Blitz
PDF version :  PDF version
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