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Aymen Danoun

Thermodynamically consistent Recurrent Neural Networks to predict non linear behaviors of dissipative materials subjected to non-proportional loading paths
2022 · Aymen Danoun, Etienne Prulière, et al. · Mechanics of Materials · 41
FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis
2024 · Aymen Danoun, Etienne Prulière, et al. · Computer Methods in Applied Mechanics and Engineering · 27
Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models
2021 · Aymen Danoun, Etienne Pruliére, et al. · International Journal for Numerical Methods in Engineering · 9
Simulation numérique de matériaux hétérogènes non-linéaires : Intelligence artificielle et méta-modèles de comportement
2022 · Danoun, Aymen · HAL (Le Centre pour la Communication Scientifique Directe)
Numerical simulation of heterogeneous materials combining Artificial Intelligence and physics-based modeling
2022 · Aymen Danoun
Prédiction du comportement mécanique non linéaire de matériaux dissipatifs sous chargements non proportionnels avec des Réseaux de Neurones Récurrents Thermodynamiquement Consistants
2022 · Danoun, Aymen, Chemisky, Yves, et al. · HAL (Le Centre pour la Communication Scientifique Directe)
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Numerical approach to study the effect of shape defect in multi-fastened joints during the assembly process
2021 · Ramzi Askri, Christophe Bois, et al. · CIRP journal of manufacturing science and technology
Works count: 8
Citation count: 77
H-index: 3
I10-index: 2
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