MS021D Enabling Technologies for Digital Twins: Model Reduction And Scientific Machine Learning IV
Main Organizer:
Prof.
Alvaro Coutinho
(
COPPE/Federal University of Rio de Janeiro
, Brazil
)
Chaired by:
Prof. Gianluigi Rozza (SISSA , Italy) , 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)
Scheduled presentations:
-
Real-time solution of forward and inverse PDE problems via a model-constrained autoencoder
-
PINNs and ROMs as Enabling Technologies for Digital Twins in Cultural Heritage
-
Computational Framework for Resource Optimization in Smart Buildings Using Multi-Objective Reinforcement Learning and Digital Twins
-
Autonomous Prognostic Health Monitoring for a Combustion System via Digital Twins
-
Minimally Intrusive Data-Driven Approximation of Coupling Operators for Heterogeneous Numerical Methods
