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
Chair: Matthew Joseph ZAHR
CoChair: Pedro Diez
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