MS003D Physics-Informed Machine Learning for Surrogate Models in Continuum Mechanics IV
Main Organizer:
Ms.
Veronika Travnikova
(
RWTH Aachen University
, Germany
)
Chaired by:
Ms. Veronika Travnikova (RWTH Aachen University , Germany) , Dr. Matthias Möller (Delft University of Technology , Netherlands)
Ms. Veronika Travnikova (RWTH Aachen University , Germany) , Dr. Matthias Möller (Delft University of Technology , Netherlands)
Scheduled presentations:
-
Student
A graph-based machine learning approach to accelerate plasma simulations
-
Student
Investigation of Physics-informed Neural Networks for Surrogate Modeling of Chromatographic Systems
-
Student
Physics-Informed Neural Networks Based on DeepONet for Ocean Wave Propagation
-
Physics informed neural networks for shunted piezoelectric systems
