Aerodynamic Design / Surrogate Model
Airfoil aerodynamic simulation and surrogate study: large parametric CFD datasets of NACA airfoils plus FNO/DeepONet surrogate comparison.
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Automotive Aerodynamics / Drag Prediction
Train surrogates on high-fidelity LES data for millisecond drag-coefficient (Cd) prediction, enabling digitalization and aero optimization of vehicle external flow.
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Wind Energy / Load Prediction
Data-driven prediction of blade fatigue load and power curve, solving hard-to-evaluate turbulent loads under extreme winds - for farm O&M decisions.
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Fourier Neural Operator / Beginner Tutorial
Systematic FNO from theory to code - for engineers and researchers wanting neural operators as PDE surrogates.
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Learning Roadmap / Systematic Overview
Systematic path from classical PDE numerics to data-driven physics AI - FEM, FVM, surrogates, PINN and their evolution.
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Automotive Aerodynamics / Large-Scale CFD
MIT's large-scale automotive aerodynamics dataset: 8,000 parametric car geometries with CFD flow fields, meshes and aerodynamic coefficients.
🆚 Compare Creative Commons Attribution-NonCommercial 4.0 Automotive Aero CFD
