DrivAerML Subsampled 10x A subsampled and compressed version of the DrivAerML dataset by Ashton et al. (2024), prepared for convenient use with ML frameworks for automotive aerodynamics tasks such as drag and lift coefficient prediction. Disclaimer This dataset is provided by Emmi AI for convenience only, on an "as is" basis, and without any warranty, express or implied. Emmi AI does not own, and does not claim any ownership or rights over, the underlying data. All intellectual credit for the original CFD simulations, geometry generation, parametric morphing, and dataset design belongs exclusively to the original DrivAerML authors. Users should refer to the original dataset and the accompanying paper for authoritative information. What Is This? The original DrivAerML dataset is approximately 30 TB and contains 500 parametrically morphed variants of the DrivAer notchback vehicle with high fidelity scale resolving CFD (hybrid RANS–LES) simulation results. This version is a 10x subsampled derivative (~375 GB), intended to lower the barrier to entry for researchers and practitioners who want to experiment with aerodynamic ML models without downloading and processing the full dataset. W…
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