Jocelyn Ahmed Mazari

According to our database, Jocelyn Ahmed Mazari authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

2023

INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations.

Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari

CoRR, 2023

Multi-Objective Hull Form Optimization with CAD Engine-based Deep Learning Physics for 3D Flow Prediction.

Jocelyn Ahmed Mazari, Antoine Reverberi, Pierre Yser, Sebastian Sigmund

CoRR, 2023

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

Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators.

Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari

Proceedings of the Topological, 2022

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions.

Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022