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| IS - Industrial challenges: Machine Learning, Large Scale Problems, Nonlinear Behaviors I Invited Session organized by Fabien Casenave, Nissrine Akkari and David Ryckelynck | MoA05I01 Room: Sala Acantilado 1 Chair: David Ryckelynck |
Tearing-and-coupling approach to the construction of POD-ROMs for industrial turbines A. Falaize, E. Liberge, A. Hamdouni and R. Mosquera Abstract |
An error indicator-based adaptative reduced order model for nonlinear structural mechanics F. Casenave and N. Akkari Abstract |
Goal-oriented reduced order model adaptivity assisted by artificial neural networks M. Fernández and F. Fritzen Abstract |
Different reduction techniques based on physical reduced order modeling and deep learning for geometrical exploration of turbulent and incompressible fluid flows N. Akkari, F. Casenave and V. Moureau Abstract |
Deep Neural Networks for Data-Driven Turbulence Models A. Beck, D. Flad and C.-D. Munz Abstract |
An improved LATIN framework for fatigue damage computations S. Alameddin, A. Fau, D. Néron, P. Ladevèze and U. Nackenhorst Abstract |
