MS063E Neural Network Solvers for PDEs: Bridging Theory and Practice in Scientific Computing V
Main Organizer:
Dr.
Jooyoung Hahn
(
Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering
, Czechia
)
Chaired by:
Dr. Jooyoung Hahn (Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering , Czechia) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Dr. Jooyoung Hahn (Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering , Czechia) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Scheduled presentations:
-
A Lower-envelope Eikonal Neural Operator
-
Hybrid AI: Homotopic Physics Relaxation for Sparse Parameter Discovery in Misspecified Models
-
Neural PDE Surrogates for American Options: Real-Time Prices, Greeks, and Implied Volatilities
-
Data Driven vs. Physics-Informed Neural Solvers for Aerodynamic Analysis and Design
-
Physics-Guided Hybrid FEM–ML Framework for Structural Dynamics Response Estimation with Sparse Sensors
