| NN‐mCRE: A modified constitutive relation error framework for unsupervised learning of nonlinear state laws with physics‐augmented neural networks A Benady, E Baranger, L Chamoin International Journal for Numerical Methods in Engineering 125 (8), e7439, 2024 | 12 | 2024 |
| Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework. A Benady, E Baranger, L Chamoin Computer Methods in Applied Mechanics and Engineering 425, pp.116967, 2024 | 6 | 2024 |
| A modified constitutive relation error (mCRE) framework to learn nonlinear constitutive models from strain measurements with thermodynamics-consistent neural networks A Benady, E Baranger, L Chamoin XI Conference on Adaptive Modeling and Simulation, 2023 | 3 | 2023 |
| Physics-informed neural networks derived from a mCRE functional for constitutive modelling A Benady, L Chamoin, E Baranger Artificial Intelligence and Augmented Engineering, 2022 | 3 | 2022 |
| Use of physics-augmented neural networks for unsupervised learning of material constitutive relations-Comparison of the NN-Euclid and NN-mCRE methods E Zembra, A Benady, E Baranger, L Chamoin ENS Paris-Saclay; Centrale Supélec, 2023 | 2 | 2023 |
| Experimental learning of a hyperelastic behavior with a physics-augmented neural network C Jailin, A Benady, R Legroux, E Baranger Experimental Mechanics, 1-17, 2024 | 1 | 2024 |
| A novel DDDAS architecture combining advanced sensing and simulation technologies for effective real-time structural health monitoring L Chamoin, E Baranger, A Benady, PÉ Charbonnel, M Diaz, ... | 1 | 2023 |
| Data-based model updating, selection, and enrichment using the modified constitutive relation error concept L Chamoin, A Benady, S Farahbakhsh, E Baranger, M Poncelet 15th World Congress on Computational Mechanics, 2022 | 1 | 2022 |
| Training an AI hyperelastic constitutive model with experimental data C Jailin, A Benady, E Baranger arXiv preprint arXiv:2410.16304, 2024 | | 2024 |
| Use of the modified constitutive relation error to learn constitutive relations E Baranger, A Benady, L Chamoin 21st European Conference on Composite Materials, 2024 | | 2024 |
| Adaptive modeling and learning of material laws for effective data assimilation L Chamoin, A Benady, S Farahbakhsh, E Baranger, M Poncelet 16th World Congress on Computational Mechanics, 2024 | | 2024 |
| Apprentissage non-supervisé de lois de comportement nonlinéaires avec réseau de neurones thermodynamiquement consistent par minimisation de l'erreur en relation de comportement … A Benady, E Baranger, L Chamoin | | 2024 |
| Physics-Augmented Neural Networks for Constitutive Modeling: Toward an Application for Structural Health Monitoring A Benady, E Baranger, L Chamoin The 9th European Congress on Computational Methods in Applied Sciences and …, 2024 | | 2024 |
| A modified Constitutive Relation Error framework to learn nonlinear constitutive laws using physics-augmented Neural Networks A Benady, L Chamoin, E Baranger IACM Mechanistic Machine Learning and Digital Engineering for Computational …, 2023 | | 2023 |
| Scientific machine learning and physics-augmented neural networks for hybrid digital twins A Benady, F Lehmann, A Pulikkathodi, E Baranger, L Chamoin, F Gatti, ... Journée du GDR I-GAIA, 2023 | | 2023 |
| Physics-augmented neural networks for constitutive modeling: training with the modified Constitutive Relation Error A Benady, E Baranger, L Chamoin MORTech 2023–6th International Workshop on Model Reduction Techniques, 2023 | | 2023 |
| Réseaux de neurones informés par la physique pour l’apprentissage de lois de comportement. A Benady, L Chamoin, E Baranger 25ème Congrès Français de Mécanique 2022, 2022 | | 2022 |
| Intégrer les connaissances physiques dans les réseaux de neurones: application à l’apprentissage des lois de comportement matériaux à partir de mesures de déformation par … A Benady, L Chamoin, E Baranger La revue 3EI 109, 2022 | | 2022 |
| NN-MCRE: Amodified CONSTITUTIVE RELATION ERROR A Benady, E Baranger, L Chamoin | | |
