A MeshCNN-style convolutional network adapted to 2D CFD airfoil meshes classifies airfoil thickness ranges with roughly 67% stable and 83% peak accuracy, but the small self-made dataset and missing artifacts limit the result.
Computational and experimental study on the aerodynamic performance of NACA 4412 airfoil with slot and groove
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AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
A MeshCNN-style convolutional network adapted to 2D CFD airfoil meshes classifies airfoil thickness ranges with roughly 67% stable and 83% peak accuracy, but the small self-made dataset and missing artifacts limit the result.