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)

An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. - Florent Bonnet; Jocelyn Ahmed Mazari; Thibaut Munzer; Pierre Yser; Patrick Gallinari (CoRR, 2022)

Graph Neural Networks for Airfoil Design. - Florent Bonnet (CoRR, 2023)

An operator preconditioning perspective on training in physics-informed machine learning. - Tim De Ryck; Florent Bonnet; Siddhartha Mishra; Emmanuel de Bézenac (ICLR, 2024)

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). - Mouadh Yagoubi; Milad Leyli-Abadi; David Danan; Jean-Patrick Brunet; Jocelyn Ahmed Mazari; Florent Bonnet; Asma Farjallah; Marc Schoenauer; Patrick Gallinari (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)