Author

J. Alves

Observed names: Alves, Alves Z. Jose R., Alves Z. José R, Alves Zapata, Alves Zapata, José Rodolfo, Alves Zapata, José-Rodolfo, Alves, J, Alves, Jose, Alves, José, J Alves, J. R. Alves Z., Jose Alves, Jose Alves Zapata, Jose R. Alves Zapata, José Rodolfo Alves Zapata, José Alves, José R. Alves Z., José, Alves, Z

Institution: Transvalor (France)

Observed institutions: Supélec, Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, Université Paris-Saclay, Centre de Mise en Forme des Matériaux, CentraleSupélec, Transvalor (France), Laboratoire Interdisciplinaire des Sciences du Numérique, École Nationale Supérieure des Mines de Paris, University of Pecs

ORCID: 0000-0001-9448-0145

Observed ORCID: 0000-0001-9448-0145

OpenAlex ID: A5101842678

Phase field modeling of ductile fracture at large plastic strains using adaptive isotropic remeshing

2021 · Hazem Eldahshan, Pierre-Olivier Bouchard, et al. · Computational Mechanics · 35

Graph Neural Network-based Surrogate Models for Finite Element Analysis

2022 · Meduri Venkata Shivaditya, Jose Alves, et al. · International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) · 22

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Modeling and Analysis of Electromagnetism in Magnetic Forming Processes

2015 · Jose R. Alves Zapata, Francois Bay · IEEE Transactions on Magnetics · 22

Deep learning model to assist multiphysics conjugate problems

2022 · George El Haber, Jonathan Viquerat, et al. · Physics of Fluids · 15

Magnetic pulse forming: simulation and experiments for high-speed forming processes

2015 · José R. Alves Z., François Bay · Advances in Materials and Processing Technologies · 15

CIPFAR: A 3D unified numerical framework for the modeling of ductile fracture based on the phase field model and adaptive remeshing

2021 · Hazem Eldahshan, José Alves, et al. · Computer Methods in Applied Mechanics and Engineering · 13

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Magnetic pulse forming processes : Computational modelling and experimental validation

2016 · José Alves · 12

Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems

2024 · M. Chenaud, F. Magoulès, et al. · Advances in Engineering Software · 11

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Electromagnetic Forming Processes: Material Behaviour and Computational Modelling

2014 · François Bay, Anne-Claire Jeanson, et al. · Procedia Engineering · 11

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3D crack initiation and propagation applied to metal forming processes

2022 · Hazem Eldahshan, Daniel Pino Munoz, et al. · International Journal of Material Forming · 8

A Posteriori Error Estimator for Finite Element Simulation of Electromagnetic Material Processing

2022 · Garcia C. Jesus O., Alves Z. Jose R., et al. · IEEE Transactions on Magnetics · 7

Deep learning model for two-fluid flows

2023 · George El Haber, Jonathan Viquerat, et al. · Physics of Fluids · 6

Numerical modeling of electrical upsetting manufacturing processes based on Forge® environment

2017 · J. Alves, S. Acevedo, et al. · AIP conference proceedings · 6

A new approach to solve complex valued systems arising from the solution of Maxwell equations in the frequency domain through real‐equivalent formulations

2016 · L. Marioni, J. R. Alves Z., et al. · Numerical Linear Algebra with Applications · 6

Anisotropic Mesh Adaptation Based on Error Estimation for 3-D Finite-Element Simulation of Electromagnetic Material Processing

2023 · Garcia C. Jesus O, Alves Z. José R, et al. · IEEE Transactions on Magnetics · 5

Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries

2023 · M. Chenaud, F. Magoules, et al. · Civil-comp conferences · 4

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Fortran… et puis quoi encore ?

2023 · Magnin, Alves, et al. · Bulletin 1024 · 2

Advancements in the Simulation of Magnetic Pulse Forming Processes with FORGE®

2021 · José Alves, François Bay, et al. · The minerals, metals & materials series · 2

Effect of M-EMS on in-mould transient flow during continuous casting

2016 · L. Marioni, J. Alves, et al. · International Journal of Applied Electromagnetics and Mechanics · 2

How to Learn Physics: A Practical Review of Scientific Machine Learning

2026 · Marien Chenaud, José Alves, et al. · Archives of Computational Methods in Engineering · 1

fortran-lang/stdlib: v0.8.0

2026 · Federico Perini, Jeremie Vandenplas, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1

Enhancing Information Flow in Graph Neural Networks for Scientific Machine Learning

2025 · M. Chenaud, J. Alves, et al. · Civil-comp conferences · 1

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A Comparison Study of Graph Neural Network and Support Vector Machine

2022 · Siying Lin, Jose Alves, et al. · International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) · 1

3D fracture modeling based on the coupling between damage criteria, phase field and crack propagation

2022 · P-O Bouchard, H Eldahshan, et al. · IOP Conference Series Materials Science and Engineering · 1

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On the induction heating contribution in magnetic pulse forming processes for tube forming application

2019 · Francois Bay, Jose Alves · COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering · 1

Works count: 52

Citation count: 213

H-index: 9

I10-index: 9