| Session | ||
S08.04: Machine Learning
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| Presentations | ||
2:00pm - 2:40pm
Machine learning for the forward and inverse homogenization of cellular materials 1ETH Zurich; 2TU Delft 2:40pm - 3:00pm
From microgeometry to macroscopic modeling of porous materials enhanced by deep neural networks Leibniz University Hannover 3:00pm - 3:20pm
A Machine Learning Approach for a Statistical Homogenization Method for Elastic Two-phase Materials TU Berlin 3:20pm - 3:40pm
Multiscale modeling of anisotropic finite strain elasticity with physics-augmented neural networks and generalized structure tensors 1TU Dresden; 2Columbia University, USA 3:40pm - 4:00pm
Surrogate elements for nonlinear microstructures using physics-enhanced machine learning TU Darmstadt | ||