ECCOMAS 2024

MS007B Machine Learning Methods for Multiscale and Multiphysics Material Modeling II

MS Corresponding Organizer: Prof. Fadi Aldakheel ( Leibniz Universität Hannover , Germany )

Mon, 03/06/2024
14:40 - 16:40
Auditorium VIII
MS007B

Chaired by:
Dr. Yousef Heider (Leibniz Universität Hannover , Germany) , Prof. Oliver Weeger (TU Darmstadt , Germany)

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 (Swansea University), R. Alhayki (Swansea University), W. Dettmer (Swansea University), D. Perić (Swansea University)
Microstructural Characterization in Aerogel Modeling through Deep Symbolic Regression
R. Abdusalamov (RWTH Aachen University), *R. Chandrasekaran (RWTH Aachen University), M. Itskov (RWTH Aachen University)
Exploring CNN Based Architectures for Structure to Property Mapping of 2D Micro-Architected Materials
*J. Bowbrick Smith (University of Surrey), M. Whiting (University of Surrey), T. Chatterjee (University of Surrey), K. Bandara (Autodesk), M. Weismann (Autodesk), H. Attar (Autodesk), A. Harris (Autodesk), I. Mohagheghian (University of Surrey)
Concurrent Multiscale Modelling of Boundary Lubrication, Enabled by Machine Learning
*H. Holey (Karlsruhe Institute of Technology), P. Gumbsch (Karlsruhe Institute of Technology), L. Pastewka (University of Freiburg)