Inverse Physics-Informed Neural Networks for transport models in porous materials

Marco Berardi, Fabio Difonzo, Matteo Icardi

Physics-Informed Neural Networks (PINN) are a machine learning tool that can be used to solve direct and inverse problems related to models described by Partial Differential Equati…