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New dataset released for high-lift aircraft aerodynamics research

Researchers have introduced HiLiftAeroML, the first open, high-fidelity computational fluid dynamics dataset specifically for high-lift aircraft aerodynamics. This dataset comprises 1,800 simulations of the NASA Common Research Model high-lift configuration across various angles of attack, generated using a GPU-accelerated large-eddy simulation approach. The release includes geometries, flow fields, integrated loads, and benchmark splits, aiming to provide a common resource for developing and evaluating data-driven models for realistic aerodynamics. AI

IMPACT Provides a benchmark for developing and assessing data-driven models in computational fluid dynamics.

RANK_REASON The cluster contains an academic paper detailing a new dataset for a specific scientific domain. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

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New dataset released for high-lift aircraft aerodynamics research

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Neil Ashton, Adam Clark, Konrad Goc, Liam Heidt, Christopher Ivey, Rahul Agrawal, Sanjeeb T Bose, Corey Adams, Peter Sharpe, Daniel Leibovici, Semih Akkurt, Sheel Nidhan, Rishi Ranade, Jean Kossaifi ·

    HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics

    arXiv:2605.19565v2 Announce Type: replace-cross Abstract: HiLiftAeroML is, to our knowledge, the first open high-fidelity computational fluid dynamics dataset dedicated to high-lift aircraft aerodynamics. It contains 1,800 simulations spanning 180 variants of the NASA Common Rese…