Victor Matray

Identifiants chercheurs

IdHAL :

victor-matray

ORCID :

0009-0005-3870-0488

Publications

Article dans une revue (3)

Geometry-agnostic model reduction with GNN-generated reduced POD bases and boosted PGD enrichment for (non)linear structural elastodynamics Victor Matray,David Néron,Frédéric Feyel,Faisal Amlani Computer Methods in Applied Mechanics and Engineering, 2026, 448, ⟨10.1016/j.cma.2025.118357⟩ Article dans une revue hal-05288454v1
Accelerating nonlinear finite element analysis via residual-aware neural network constitutive models Pierre-Eliot Malleval,Victor Matray,Faisal Amlani,Ronan Scanff,Frédéric Feyelet al. Finite Elements in Analysis and Design, In press, Volume 251, pp.104431. ⟨10.1016/j.finel.2025.104431⟩ Article dans une revue hal-05070128v2
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron Computer Methods in Applied Mechanics and Engineering, 2024, 430, pp.117243. ⟨10.1016/j.cma.2024.117243⟩ Article dans une revue hal-04585018v2

Communication dans un congrès (4)

Graph Neural Network-Enhanced Model Order Reduction for Complex Geometries Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2025), ECCOMAS, Jun 2025, Rhodes, Greece. ⟨10.1016/j.cma.2024.11724⟩ Communication dans un congrès hal-05131757v1
A hybrid approach with reduced order modelling and graph neural networks for non-parametric problems Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron ECCOMAS Congress 2024 - The 9th European Congress on Computational Methods in Applied Sciences and Engineering, CMIME, Jun 2024, Lisbon, Portugal Communication dans un congrès hal-04620256v1
Pré-dimensionnement de structures aéronautiques : une nouvelle perspective grâce à la combinaison de la réduction de modèles et de l'apprentissage profond sur graphes Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France Communication dans un congrès hal-04611015v1
Pré-dimensionnement de structures aéronautiques : une nouvelle perspective grâce à la combinaison de la réduction de modèles et de l'apprentissage profond sur graphes Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron 16ème Colloque National en Calcul de Structures (CSMA 2024), Association Calcul des Structures et Modélisation (CSMA), May 2024, Giens (Var), France Communication dans un congrès hal-04585078v1

Poster de conférence (1)

Coupling of Deep Learning on Graphs and Model Order Reduction for Efficient Preliminary Sizing of Mechanical Structures in Aircraft Crash Simulations Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron MORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Gif sur Yvette, France Poster de conférence hal-04585040v1

Pré-publication, Document de travail (2)

Preprint: Geometry-agnostic model reduction with GNN-generated reduced POD bases and Boosted PGD enrichment for (non)linear structural elastodynamics Victor Matray,Frédéric Feyel,David Néron,Faisal Amlani 2025 Pré-publication, Document de travail hal-05221802v1
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray,Faisal Amlani,Frédéric Feyel,David Néron 2024 Pré-publication, Document de travail hal-04595307v1