John M. Hanna 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	69	68
h 指数	2	2
i10 指数	1	1

0

40

20

2022202320245 22 40

合著作者

domenico borzacchielloEcole Centrale de Nantes在 ec-nantes.fr 的电子邮件经过验证
Jose V. AguadoAssociate professor at Institut de Recherche en Génie Civil et Mécanique, Ecole Centrale de Nantes在 ec-nantes.fr 的电子邮件经过验证
Sebastien Comas-CardonaProf, PhD, Ecole Centrale Nantes, France在 ec-nantes.fr 的电子邮件经过验证
Ramzi ASKRIIRT Jules Verne在 irt-jules-verne.fr 的电子邮件经过验证

John M. Hanna

John M. Hanna

在 inria.fr 的电子邮件经过验证

Computational Mechanics Physics-informed neural networks multiphase flow simulation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	62	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	6	2024
Sensitivity analysis using Physics-informed neural networks JM Hanna, JV Aguado, S Comas-Cardona, R Askri, D Borzacchiello Engineering Applications of Artificial Intelligence 135, 108764, 2024	1	2024
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

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