06 June 2022    14:00 - 16:00   Add
Deep Learning Approaches for Applied Sciences and Engineering II
Minisymposium organized by M. Giselle FernŠndez-Godino, Charles F. Jekel and Christian Gogu
Room: Jan Mayen 3
Chair: M. Giselle Fernandez-Godino
CoChair: Charles F. Jekel
Machine Learning in Topology Optimisation - Challenges and Prospects (Keynote Lecture)
Rebekka V. Woldseth, Niels Aage, J. Andreas Bśrentzen and Ole Sigmund

Deep learning based dimensionality reduction for fracture mechanics
Krushna Shinde, Vincent Itier, Josť 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