Airfoil2Vec: Spectral Geometry-Conditioned Neural Surrogate Models for Airfoil Aerodynamics and a Downforce-Generating CFD Dataset

arXiv:2609.38213 · physics.flu-dyn, cs.LG · Submitted 2026-09-25 · Read on arXiv

physics.flu-dyn, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Spectral Geometry — 1× in this paper · explained in 2 episodes
• Surrogate Model — 1× in this paper · explained in 2 episodes
• Surrogate Models — 1× in this paper · explained in 2 episodes

Sources

• Mathematical Foundations of Geometric Deep Learning
• Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
• Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
• Machine Learning in Aerodynamic Shape Optimization
• Reconstruction of irregular flow dynamics around two square cylinders from sparse measurements using a data-driven algorithm
• Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion

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