‪John M. Hanna‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	43	42
h-index	2	2
i10-index	1	1

0

24

12

2022202320245 23 14

Co-authors

domenico borzacchielloEcole Centrale de NantesVerified email at ec-nantes.fr
Jose V. AguadoAssociate professor at Institut de Recherche en Génie Civil et Mécanique, Ecole Centrale de NantesVerified email at ec-nantes.fr
Sebastien Comas-CardonaProf, PhD, Ecole Centrale Nantes, FranceVerified email at ec-nantes.fr
Ramzi ASKRIIRT Jules VerneVerified email at irt-jules-verne.fr

John M. Hanna

John M. Hanna

Ecole Centrale de Nantes

Verified email at ec-nantes.fr

Computational Mechanics Physics-informed neural networks multiphase flow simulation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks JM Hanna, JV Aguado, S Comas-Cardona, R Askri, D Borzacchiello Computer Methods in Applied Mechanics and Engineering 396, 115100, 2022	40	2022
A self-supervised learning framework based on physics-informed and convolutional neural networks to identify local anisotropic permeability tensor from textiles 2D images for … JM Hanna, JV Aguado, S Comas-Cardona, Y Le Guennec, ... Composites Part A: Applied Science and Manufacturing, 108019, 2024	2	2024
Sensitivity analysis using Physics-informed neural networks JM Hanna, JV Aguado, S Comas-Cardona, R Askri, D Borzacchiello arXiv preprint arXiv:2301.02428, 2023	1	2023
Modeling two-phase flow in porous media using physics-informed neural networks for applications in liquid composite molding J Hanna École centrale de Nantes, 2023		2023

The system can't perform the operation now. Try again later.

Articles 1–4