neashton/drivaerml

DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics Contact: Neil Ashton ([email protected]) Website: https://caemldatasets.org Summary: Machine Learning (ML) has the potential to revolutionise the field of automotive aerodynamics, enabling split-second flow predictions early in the design process. However, the lack of open-source training data for realistic road cars, using… See the full description on the dataset page: https://huggingface.co/datasets/neashton/drivaerml.

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