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- P. Dubois, T. Gomez, L. Planckaert, L. Perret. Machine learning for fluid flow reconstruction from limited measurements, Journal of Computational Physics, vol 448, 110733, (2022) (link)
- Nathaniel Saura. Modeling of the sub-mesh stress tensor by 3D convolution network in homogeneous isotropic Turbulence, PhD Thesis, University of Lille , (2021) (link)
- Pierre Dubois. Use of machine learning tools in fluid mechanics for the data-driven reduction, reconstruction and prediction of a fluid flow fluctuating velocity field, PhD Thesis, University of Lille , (2021)
- Dubois P , Gomez T , Planckaert L , Perret L. Data-driven predictions of the Lorenz system, Physica D-Nonlinear Phenomena vol. 408, pp. 132495, (2020) (link)
- Zhang XL , Xiao H , Gomez T , Coutier-Delgosha O. Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes, Computers & Fluids vol. 203, (2020) (link)
- Zhang XL, Gomez T, Coutier-Delgosha O. Bayesian optimisation of RANS simulation with ensemble-based variational method in convergent-divergent channel, J. Turbul. vol. 20, pp. 214-239, (2019) (link)
- Podvin B, Nguimatsia S, Foucaut JM, Cuvier C, Fraigneau Y. On combining linear stochastic estimation and proper orthogonal decomposition for flow reconstruction, Exp. Fluids vol. 59, (2018) (link)
- Gabriele Perozzi. Exploration sécurisée d’un champ aérodynamique par un mini drone, University of Lille 1 , (2018) (link)
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