IS30 - Physics-Based Machine Learning for Engineering Simulations and Digital Twin
Corresponding Organizer: Dr. Caterina Millevoi (University of Padua)
Chaired by:
Mr. Nicolo Spiezia (M3E , Italy) , Dr. Caterina Millevoi (University of Padua , Italy)
Mr. Nicolo Spiezia (M3E , Italy) , Dr. Caterina Millevoi (University of Padua , Italy)
Scheduled presentations:
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Deep learning-based reduced order models for scientific applications
S. Fresca*, A. Manzoni -
Inverse Modelling in Hydro-Poromechanics with PINN
C. Millevoi*, N. Spiezia, M. Ferronato -
Towards Physics-Informed Machine Learning for Industrial Aerospace Applications: Perspectives and Expectations
F. Tucci*, D. Paniccia, M. Dessole, E. Pellegrino, N. Sanguini, T. Benacchio, L. Capone -
Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks
C. Fraces*