MS039A Various Apects of Machine Learning Enhanced Numerical Methods to Solve Differential Problems
Main Organizer:
Mr.
Moreno Pintore
(
Sorbonne University, Inria
, France
)
Co-organized by: D. Oberto (Sissa, Italy) and G. Teora (Politecnico di Torino, Italy)
Co-organized by: D. Oberto (Sissa, Italy) and G. Teora (Politecnico di Torino, Italy)
Chaired by:
Mr. Davide Oberto (SISSA , Italy) , Dr. Gioana Teora (DISMA - Politecnico di Torino , Italy)
Mr. Davide Oberto (SISSA , Italy) , Dr. Gioana Teora (DISMA - Politecnico di Torino , Italy)
Scheduled presentations:
-
Keynote
Graph-Based Machine Learning Approaches for Model Order Reduction
-
rbVEM: the Reduced Basis Virtual Element Method
-
Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
-
A New Set of Test Functions for Variational Physics-Informed Neural Networks in Solid Mechanics
-
The Three-Dimensional Volume Of Fluid - Machine Learning Method