AirfRANS
Emerging4papers using it
2022first seen
The 'AirfRANS' dataset/benchmark contains data for evaluating data-driven solvers for Partial Differential Equations (PDEs) in the context of aerodynamic flows, specifically focusing on the Reynolds-Averaged Navier-Stokes equations.
Papers using AirfRANS (4)
- Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear AttentionAirfRANS: High Fidelity Computational Fluid Dynamics Dataset for
Approximating Reynolds-Averaged Navier-Stokes SolutionsINFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes
EquationsNeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for
Computational Fluid Dynamics in Airfoil Design