
MS002A Enabling Technologies for Scientific Machine Learning and Reduced Order Modeling 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
Hybrid Intrusive/ML-based Reduced Order Model Applied to Shape Optimisation
-
Student
ROM-VMS formulation for environmental flows and wind energy applications
-
Non intrusive interpolation and low rank approximation methods for nonlinear parametric models. Application to mechanical engineering.
-
Enabling parametric ROMs with LRTD
-
Improving Stability Factor Estimation for Reduced Basis Solutions through Adaptive Gaussian Process Modeling