
MS044B Neural Operators for PDEs in Complex Geometries II
Main Organizer:
Phd.
Oriol Colomés
(
Delft University of Technology
, Netherlands
)
Chaired by:
Phd. Oriol Colomés (Delft University of Technology , Netherlands) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Phd. Oriol Colomés (Delft University of Technology , Netherlands) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Scheduled presentations:
-
Student
Unfitted finite element interpolated neural networks for partial differential equations on complex geometries
-
Student
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
-
Student
Performance Comparison of Neural Networks and Sparse Polynomials for Operator Surrogates
-
Convolution neural operator preconditioning for the solution of some heterogeneous PDEs
-
Student
A Phi-FEM approach to train a FNO for variable geometries
-
The Generalized Weighted Shifted Boundary Method for geometry-agnostic neural operators