124 citations · 124 across the 2 of their papers we have counts for
2 papers
math.NA2023
Sensitivity analysis using Physics-informed neural networks
John M. Hanna, José V. Aguado, Sebastien Comas-Cardona +2
The goal of this paper is to provide a simple approach to perform local sensitivity analysis using Physics-informed neural networks (PINN). The main idea lies in adding a new term…
math.NA2021★ 124 cited
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks
John M. Hanna, Jose V. Aguado, Sebastien Comas-Cardona +2
This paper aims to provide a machine learning framework to simulate two-phase flow in porous media. The proposed algorithm is based on Physics-informed neural networks (PINN). A no…