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Closure Challenge v2 — CFD case files (heavy)
Companion dataset to anon-closure-challenge-v2/closure-challenge-v2.
This repository hosts the full OpenFOAM cases (mesh, fields, run scripts), VTK volume snapshots, and DNS-native partitioned VTUs for the 14 test cases of the Closure Challenge v2 benchmark.
The lightweight integral-profile portion needed for reproducing the scoring protocol is in the companion dataset. Most reviewers and submitters do not need this heavy dataset — it is only required for re-running the CFD simulations from scratch or for extended analyses.
Status
Heavy CFD assets will be uploaded after acceptance. The 14-case OpenFOAM tree is approximately 15-20 GB. We are deferring the upload to the camera-ready stage to allow time for thorough PII scrubbing of run scripts, comments, and cluster-specific paths.
Planned contents
For each of the 14 test cases:
<case>/
├── 0/ OpenFOAM initial conditions
├── <converged_time>/ Converged solution + diagnostic fields
├── constant/ polyMesh, turbulenceProperties, thermophysicalProperties
├── system/ controlDict, fvSchemes, fvSolution, post-processing dicts
├── postProcessing/ residuals, line probes, surface samples
├── VTK/ Volume + surface snapshots for ParaView
└── *.foam Empty file for ParaView OpenFOAM reader
Plus extraction utilities:
extract_baseline_from_vtk.py Probe baseline at high-fidelity reference points
compute_forces.py Integrate p over body surface to produce CD/CL
extract_wbj_surface_lines.py Wing-body junction surface line extraction
faith_hill_to_csv.py FAITH hill PIV/PSP/FISF re-formatter
License
- OpenFOAM cases (this work): MIT
- Curated extracts of upstream data: CC-BY-4.0 for NASA TMR, Vinuesa duct, Xiao parametric PHLL; CC-BY-NC-SA-4.0 for ERCOFTAC kbwiki extracts (Ahmed body case082, wing-body junction DNS 1-6).
Citation
@inproceedings{closure_challenge_v2_neurips26,
title={The Closure Challenge: A Benchmark Task for Machine Learning in Turbulence Modeling},
author={Anonymous},
booktitle={NeurIPS Datasets and Benchmarks Track (under review)},
year={2026}
}
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