
MS037B Integrating Scientific Machine Learning with Physics-Based Simulation F INDUSTRIAL MULTIPHYSICS APPLICATIONS II
Main Organizer:
Dr.
Thibault Dairay
(
Michelin
, France
)
Chaired by:
Dr. Fabien Casenave (Safran , France) , Prof. iraj Mortazavi (CNAM , France)
Dr. Fabien Casenave (Safran , France) , Prof. iraj Mortazavi (CNAM , France)
Scheduled presentations:
-
ML-Augmented CFD with Local Corrective Term
-
Student
Combining Machine Learning With Finite Element Simulations For Fast Computation In Power Module Failure Analysis Due To Wire Bond Degradation
-
Real Time Reconstruction of High-Fidelity Simulations for Fault Prediction of Centrifugal Pump using Non-Intrusive Reduced Order Modeling
-
Student
A Line Search Heuristic for Optimization Using On-the-fly Model Order Reduction
-
Student
Optimal Morphing for Reduced-Order Modeling Under Non-Parametrized Geometrical Variability
-
Student
Data-Driven Fluid Flow Prediction Using Conditional Score-Based Diffusion Models