Convergence of Fourier-based time methods for turbomachinery wake passing problems. - Adrien Gomar; Quentin Bouvy; Frédéric Sicot; Guillaume Dufour; Paola Cinnella; Benjamin François (J. Comput. Phys., 2014)

Bayesian quantification of thermodynamic uncertainties in dense gas flows. - X. Merle; Paola Cinnella (Reliab. Eng. Syst. Saf., 2015)

High-order implicit residual smoothing time scheme for direct and large eddy simulations of compressible flows. - Paola Cinnella; C. Content (J. Comput. Phys., 2016)

Multiple-correction hybrid k-exact schemes for high-order compressible RANS-LES simulations on fully unstructured grids. - Grégoire Pont; Pierre Brenner; Paola Cinnella; Bruno Maugars; Jean-Christophe Robinet (J. Comput. Phys., 2017)

Robust prediction of dense gas flows under uncertain thermodynamic models. - X. Merle; Paola Cinnella (Reliab. Eng. Syst. Saf., 2019)

Multi-Fidelity Gradient-Based Strategy for Robust Optimization in Computational Fluid Dynamics. - Aldo Serafino; Benoit Obert; Paola Cinnella (Algorithms, 2020)

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. - Florent Bonnet; Jocelyn Ahmed Mazari; Paola Cinnella; Patrick Gallinari (NeurIPS, 2022)

CFD-driven symbolic identification of algebraic Reynolds-stress models. - Ismaïl Ben Hassan Saïdi; Martin Schmelzer; Paola Cinnella; Francesco Grasso (J. Comput. Phys., 2022)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. - Anna Ivagnes; Niccolò Tonicello; Paola Cinnella; Gianluigi Rozza (CoRR, 2024)

Opportunities for machine learning in scientific discovery. - Ricardo Vinuesa; Jean Rabault; Hossein Azizpour; Stefan Bauer; Bingni W. Brunton; Arne Elofsson; Elias Jarlebring; Hedvig Kjellström; Stefano Markidis; David Marlevi; Paola Cinnella; Steven L. Brunton (CoRR, 2024)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jean-Patrick Brunet; Jocelyn Ahmed Mazari; Florent Bonnet; Maroua Gmati; Asma Farjallah; Paola Cinnella; Patrick Gallinari; Marc Schoenauer (CoRR, 2024)

Space-dependent turbulence model aggregation using machine learning. - M. de Zordo-Banliat; G. Dergham; X. Merle; Paola Cinnella (J. Comput. Phys., 2024)

Space-dependent aggregation of stochastic data-driven turbulence models. - S. Cherroud; X. Merle; Paola Cinnella; Xavier Gloerfelt (J. Comput. Phys., 2025)