MS003C Physics-Informed Machine Learning for Surrogate Models in Continuum Mechanics III
Main Organizer:
Ms.
Veronika Travnikova
(
RWTH Aachen University
, Germany
)
Chaired by:
Dr. Matthias Möller (Delft University of Technology , Netherlands) , Ms. Veronika Travnikova (RWTH Aachen University , Germany)
Dr. Matthias Möller (Delft University of Technology , Netherlands) , Ms. Veronika Travnikova (RWTH Aachen University , Germany)
Scheduled presentations:
-
Domain Decomposition for Randomized Neural Networks
-
Student
Point Marching Adaptive Collocation Method for Physics-Informed Neural Networks
-
Student
Training of Physics-Informed Neural Networks: a Multi-Criterion Viewpoint
-
SetPINNs: Set-based Physics-informed Neural Networks
-
Student
Neural Green's Operators for Parametric Partial Differential Equations
-
Student
Multifidelity Neural Operator for PDE Problems
