MS007A Machine Learning Methods for Multiscale and Multiphysics Material Modeling I
MS Corresponding Organizer:
Prof.
Fadi Aldakheel
(
Leibniz Universität Hannover
, Germany
)
Chaired by:
Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany) , Prof. Miguel Bessa (Brown University , United States)
Prof. Fadi Aldakheel (Leibniz Universität Hannover , Germany) , Prof. Miguel Bessa (Brown University , United States)
Scheduled presentations:
-
Keynote
Machine Learning for the Inverse Design of Architected Materials
-
Parameterized hyperelastic material modeling and multiscale topology optimization with physics-augmented neural networks
-
Deep learning-aided inverse design of porous metamaterials
-
Experiment-informed Finite-strain Inverse Design of Spinodal Metamaterials
-
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
