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This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
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https://www.epc.ed.tum.de/en/aer/research-groups/automotive/drivaer/geometry/ , 2024
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