Researchcfdturbulenceranssurrogate modeling
WAKESET Introduces Large-Scale High-Reynolds Turbulent CFD Dataset
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In February 2026, researchers introduced WAKESET, a large-scale CFD dataset of highly turbulent flows capturing hydrodynamics during underwater recovery of an autonomous underwater vehicle by a larger uncrewed vehicle. It contains 1,091 high-fidelity RANS simulations (augmented to 4,364 instances), spans speeds up to Reynolds numbers of 1.09×10^8 and varied turning angles, and aims to support ML for flow prediction and surrogate modeling.
Scoring Rationale
High novelty and direct usability for turbulence ML, limited by preprint status and domain-specific scope.
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