MS012 Direct and Inverse Percolation Problems: Physical and Machine Learning Approaches
Main Organizer:
Dr.
Josephin Giacomini
(
Università degli Studi di Camerino
, Italy
)
Chaired by:
Dr. Josephin Giacomini (Università degli Studi di Camerino , Italy) , Mr. antoniorenee barletta (Università di Napoli Federico II , Italy)
Dr. Josephin Giacomini (Università degli Studi di Camerino , Italy) , Mr. antoniorenee barletta (Università di Napoli Federico II , Italy)
Scheduled presentations:
-
A study of liquid infiltration into an espresso bed using micro-computed tomography and modelling
-
An asymptotic approach to percolation
-
A Mathematical Model for the Coffee Roasting Process
-
Collocation Method with Radial Basis Functions in the Extraction of Espresso Coffee
-
Mathematical modeling of the espresso coffee extraction process with brewing water injected from different directions
-
Numerical Solutions to Inverse Navier-Stokes Problems via Physics-Informed Neural Networks: A Comparison Using DeepXDE
-
Innovating Polyolefin Recycling with Artificial Intelligence
