Sparse Bayesian learning of explicit algebraic Reynolds-stress models for turbulent separated flows S Cherroud, X Merle, P Cinnella, X Gloerfelt International Journal of Heat and Fluid Flow 98, 109047, 2022 | 24 | 2022 |
Space-dependent aggregation of data-driven turbulence models S Cherroud, X Merle, P Cinnella, X Gloerfelt arXiv preprint arXiv:2306.16996, 2023 | 11 | 2023 |
Machine-learning-assisted Blending of Data-Driven Turbulence Models M Oulghelou, S Cherroud, X Merle, P Cinnella arXiv preprint arXiv:2410.14431, 2024 | 1 | 2024 |
Apprentissage Bayesien parcimonieux et agrégation adaptative de modèles de turbulence S Cherroud HESAM Université, 2023 | | 2023 |
Intrusive and non-intrusive space-dependent aggregation of data-driven turbulence models XG Soufiane Cherroud, Xavier Merle, Paola Cinnella Conference: The 14th International ERCOFTAC Symposium on Engineering …, 2023 | | 2023 |
1E11 Laminar separation bubble around the trailing edge and a 15degree deflected flap effect on a NACA 0012 at low Reynolds number S Cherroud, J Hattori, Y Sunada, K Rinoie | | 2019 |