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06 June 2022 14:00 - 16:00
Add Deep Learning Approaches for Applied Sciences and Engineering II Minisymposium organized by M. Giselle Fernández-Godino, Charles F. Jekel and Christian Gogu |
Room: Jan Mayen 3 MS117B Chair: M. Giselle Fernandez-Godino CoChair: Charles F. Jekel |
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Machine Learning in Topology Optimisation - Challenges and Prospects (Keynote Lecture)
Rebekka V. Woldseth, Niels Aage, J. Andreas Bærentzen and Ole Sigmund Deep learning based dimensionality reduction for fracture mechanics Krushna Shinde, Vincent Itier, José Mennesson, Dmytro Vasiukov and Modesar Shakoor Mesh generation for finite element simulations with Deep Learning Martin Legeland, Kevin Linka and Christian J. Cyron Real-time large deformations: A probabilistic deep learning approach Saurabh Deshpande, Jakub Lengiewicz and Stephane Bordas An explainable pipeline for machine learning with functional data Katherine Goode, J. Derek Tucker, Daniel Ries and Heike Hofmann |
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