Conference Time: 10th May 2024, 06:02:07am CEST
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
S08.04: Machine Learning
Time:
Wednesday, 20/Mar/2024:
2:00pm - 4:00pm
Session Chair: Richard Ostwald
Location: G16/054 Conference Room 054 in Building 16; size: 42
Presentations
2:00pm - 2:40pm Machine learning for the forward and inverse homogenization of cellular materials
D. M. Kochmann 1 , L. Zheng1 , J.-H. Bastek1 , S. Kumar2
1 ETH Zurich; 2 TU Delft
2:40pm - 3:00pm From microgeometry to macroscopic modeling of porous materials enhanced by deep neural networks
Y. Heider , F. Aldakheel
Leibniz University Hannover
3:00pm - 3:20pm A Machine Learning Approach for a Statistical Homogenization Method for Elastic Two-phase Materials
L. Schmollack , S. Klinge
TU Berlin
3:20pm - 3:40pm Multiscale modeling of anisotropic finite strain elasticity with physics-augmented neural networks and generalized structure tensors
K. Kalina 1 , J. Brummund1 , W. Sun2 , M. Kästner1
1 TU Dresden; 2 Columbia University, USA
3:40pm - 4:00pm Surrogate elements for nonlinear microstructures using physics-enhanced machine learning
W. Li , O. Weeger
TU Darmstadt
