Victor Matray
100%
Libre accès
10
Documents
Affiliations actuelles
- Laboratoire de Mécanique Paris-Saclay (LMPS)
- Safran Tech
Identifiants chercheurs
Publications
Publications
|
|
Geometry-agnostic model reduction with GNN-generated reduced POD bases and boosted PGD enrichment for (non)linear structural elastodynamicsComputer Methods in Applied Mechanics and Engineering, 2026, 448, ⟨10.1016/j.cma.2025.118357⟩
Article dans une revue
hal-05288454
v1
|
|
|
Accelerating nonlinear finite element analysis via residual-aware neural network constitutive modelsFinite Elements in Analysis and Design, In press, Volume 251, pp.104431. ⟨10.1016/j.finel.2025.104431⟩
Article dans une revue
hal-05070128
v2
|
|
|
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problemsComputer Methods in Applied Mechanics and Engineering, 2024, 430, pp.117243. ⟨10.1016/j.cma.2024.117243⟩
Article dans une revue
hal-04585018
v2
|
Graph Neural Network-Enhanced Model Order Reduction for Complex Geometries10th 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-05131757
v1
|
|
|
|
Pré-dimensionnement de structures aéronautiques : une nouvelle perspective grâce à la combinaison de la réduction de modèles et de l'apprentissage profond sur graphes16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France
Communication dans un congrès
hal-04611015
v1
|
A hybrid approach with reduced order modelling and graph neural networks for non-parametric problemsECCOMAS Congress 2024 - The 9th European Congress on Computational Methods in Applied Sciences and Engineering, CMIME, Jun 2024, Lisbon, Portugal
Communication dans un congrès
hal-04620256
v1
|
|
|
|
Pré-dimensionnement de structures aéronautiques : une nouvelle perspective grâce à la combinaison de la réduction de modèles et de l'apprentissage profond sur graphes16ème 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-04585078
v1
|
|
|
Coupling of Deep Learning on Graphs and Model Order Reduction for Efficient Preliminary Sizing of Mechanical Structures in Aircraft Crash SimulationsMORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Gif sur Yvette, France
Poster de conférence
hal-04585040
v1
|
|
|
Preprint: Geometry-agnostic model reduction with GNN-generated reduced POD bases and Boosted PGD enrichment for (non)linear structural elastodynamics2025
Pré-publication, Document de travail
hal-05221802
v1
|
|
|
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems2024
Pré-publication, Document de travail
hal-04595307
v1
|
Chargement...
Chargement...