MS007B Machine Learning Methods for Multiscale and Multiphysics Material Modeling II
MS Corresponding Organizer: Prof. Fadi Aldakheel (Leibniz Universität Hannover)
Chaired by:
Dr. Yousef Heider (Leibniz Universität Hannover , Germany) , Prof. Oliver Weeger (TU Darmstadt , Germany)
Dr. Yousef Heider (Leibniz Universität Hannover , Germany) , Prof. Oliver Weeger (TU Darmstadt , Germany)
Scheduled presentations:
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Physically enhanced neural networks: Application to nonlinear viscoelasticity
L. Maurer*, S. Eisenträger, D. Juhre -
A Neural Network Strategy for the Modelling of Inelastic Solid Materials via Gradient-Free Optimisation
E. Muttio*, R. Alhayki, W. Dettmer, D. Perić -
Microstructural Characterization in Aerogel Modeling through Deep Symbolic Regression
R. Abdusalamov, R. Chandrasekaran*, M. Itskov -
Exploring CNN Based Architectures for Structure to Property Mapping of 2D Micro-Architected Materials
J. Bowbrick Smith*, M. Whiting, T. Chatterjee, K. Bandara, M. Weismann, H. Attar, A. Harris, I. Mohagheghian -
Concurrent Multiscale Modelling of Boundary Lubrication, Enabled by Machine Learning
H. Holey*, P. Gumbsch, L. Pastewka
