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HiLiftAeroML

A high-fidelity CFD dataset for high-lift aircraft

Ashton et al. · Aero & CFD

Data nvidia/HiLiftAeroML⁠Paper arXiv 2605.19565Benchmark FluidsBench (coming soon)

1,800 wall-modelled LES runs of 180 variants of the NASA Common Research Model high-lift configuration, at ten angles of attack from 4° to 22°, on 300–500 million-cell grids, released under CC BY 4.0.

Licence
CC BY 4.0
Cases
1,800 runs: 180 variants of the NASA CRM high-lift configuration at ten angles of attack from 4° to 22°
Fidelity
Wall-modelled LES, on GPUs
Mesh
300–500 million-cell adapted grids
Baselines
GeoTransolver and Transolver

Used by

  1. Paper · TransformersCANTO — CAD-Native Transformer Operators for AI-Aided Engineering
  2. Paper · Latent modelsAeroJEPA — Semantic Latent Representations for 3D Aerodynamic Fields
  3. Paper · PretrainingCross-domain pretraining — Cross-domain pretraining for steady neural CFD surrogates
  4. News · ReleasePhysicsNeMo 2.1: one external-aerodynamics recipe for several datasets and models, GLOBE and out-of-distribution guardrails

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