M2P 2023

IS30 - Physics-Based Machine Learning for Engineering Simulations and Digital Twin

Main Organizer: Dr. Caterina Millevoi ( University of Padua , Italy )

Tue, 30/05/2023
15:15 - 16:55
Salone Giardino 1
IS30 -

Chaired by:
Mr. Nicolo Spiezia (M3E , Italy) , Dr. Caterina Millevoi (University of Padua , Italy)

Deep learning-based reduced order models for scientific applications
*S. Fresca (Politecnico di Milano), A. Manzoni (Politecnico di Milano)
Inverse Modelling in Hydro-Poromechanics with PINN
*C. Millevoi (University of Padova), N. Spiezia (M3E S.r.l.), M. Ferronato (University of Padova)
Towards Physics-Informed Machine Learning for Industrial Aerospace Applications: Perspectives and Expectations
*F. Tucci (Leonardo), D. Paniccia (Leonardo), M. Dessole (Leonardo), E. Pellegrino (Leonardo), N. Sanguini (Leonardo), T. Benacchio (Leonardo), L. Capone (Leonardo)
Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks
*C. Fraces (Stanford)