MS021C Enabling Technologies for Digital Twins: Model Reduction And Scientific Machine Learning III
Main Organizer:
Prof.
Alvaro Coutinho
(
COPPE/Federal University of Rio de Janeiro
, Brazil
)
Chaired by:
Prof. Alvaro Coutinho (COPPE/Federal University of Rio de Janeiro , Brazil) , Prof. Gianluigi Rozza (SISSA , Italy)
Prof. Alvaro Coutinho (COPPE/Federal University of Rio de Janeiro , Brazil) , Prof. Gianluigi Rozza (SISSA , Italy)
Scheduled presentations:
-
Evolution of the Digital Twin towards Certification: Integrating Physically Interpretable ML Pipelines into the FDE Ecosystem for Service Life Extension Programs
-
A Physics-Informed Neural Network Framework for Multiphase Flows with Interface-Capturing Schemes
-
A Finite Element-Inspired Mesh-Adaptive Hypergraph Neural Network Framework for Oscillating and Rotating Domains
-
Autoencoder-Based Multi-Fidelity Modelling for EMC filter design
-
An Advanced Graph Neural Pipeline for CO2 Plume Migration in Complex Geological Formations
-
A parametric reduced-order modeling of wake interactions in multi-turbine configurations
