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Tuesday, 12 June 2018 16:30 - 18:30 Model reduction, big data and dynamic data-driven systems V Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze |
Room: Forth MS48E Chair: Matthew Joseph ZAHR CoChair: Pedro Diez |
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A variational framework for data-driven computational mechanics applied to elasticity (Keynote Lecture)
Lu Trong Khiem Nguyen, Matthias Rambausek and Marc-Andre Keip Neural-net Prediction of Stress Concentration at Fillets Using Stress Distribution Data Sets of Models without Defects Taichi Yamaguchi, Gaku Hashimoto and Hiroshi Okuda Navier-Stokes resolution using in-plane/out-of-plane separated representation Rubén Ibáñez, Adrien Scheuer, Emmanuelle Abisset-Chavanne, Francisco Chinesta and Roland Keunings POD-DEIM model order reduction for the monodomain reaction-diffusion equation in neuro-muscular system 
Nehzat Emamy, Pascal Litty, Thomas Klotz, Miriam Mehl and Oliver Röhrle Reshaping of Large aeronautical structural parts: A simulation approach based on Reduced Order Modeling Ramiro Mena, José V. Aguado, Stéphane Guinard and Antonio Huerta A Snapshot-Free Proper Orthogonal Decomposition Method for Time-Dependent Problems Carlos Sandino, José V. Aguado and Francisco Chinesta |
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