MS021A Enabling Technologies for Digital Twins: Model Reduction And Scientific Machine Learning I
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:
-
Keynote
Mixed-initiative engineering design: towards a more-than-human design process
-
When AI Meets Partition of Unity Finite Element Method – A Promising Paradigm for AI-Enhanced Computational Solid Mechanics
-
DeepONet-FNO Surrogates for Multiphase Flow in Porous Media
-
Adaptive β-Variational Autoencoders ROMs for Coupled Fluid Flow and Transport
-
Digital twins for age-related chronic disease: applications in HIV, Alzheimer’s and beyond
