MS007E Machine Learning Methods for Multiscale and Multiphysics Material Modeling V
MS Corresponding Organizer: Prof. Fadi Aldakheel (Leibniz Universität Hannover)
Chaired by:
Prof. Oliver Weeger (TU Darmstadt , Germany) , Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany)
Prof. Oliver Weeger (TU Darmstadt , Germany) , Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany)
Scheduled presentations:
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Multiscale modeling with physics-augmented neural networks
K. Kalina*, J. Brummund, W. Sun, M. Kästner -
Physics-informed deep operator networks for multiscale simulations
H. Eivazi*, J. Tröger, S. Wittek, S. Hartmann, A. Rausch -
Multiscale Modeling of Viscoelastic Shell Structures with Artificial Neural Networks
J. Geiger*, W. Wagner, S. Freitag -
Approximating Fine-Scale Features in Time-Dependent Multiscale PDEs with Neural Networks
M. Elasmi, F. Krumbiegel*, R. Maier -
Combining FE and Multiscale Thermodynamics Informed Neural Networks towards Fast and Frugal Inelastic Simulations for Woven Composite Structures
M. El Fallaki Idrissi, G. Chatzigeorgiou, F. MERAGHNI*, F. Praud, F. Chinesta
