OpenFOAM-13 reference simulation data and pyOpenFOAM validation results for pyOpenFOAM — a pure Python/PyTorch reimplementation of OpenFOAM with GPU acceleration and automatic differentiation.
Dataset Summary / 数据摘要
Property
Value
Total reference cases
257
Validated cases
233 (90.7%)
Categories
21
Source
OpenFOAM v11/v13
Reference data size
2.42 GB
pyOpenFOAM results
3.3 MB
Field files analyzed
2,032
Unique field types
376
Validation figures
11
Contents / 内容
File
Size
Description
openfoam-reference-data.tar.gz
2.42 GB
257 OpenFOAM reference cases (96% of v13 tutorials)
pyopenfoam-simulation-results.tar.gz
47 KB
pyOpenFOAM validation results (34 JSON files)
validation_report.md
19 KB
Comprehensive validation report with academic citations
from huggingface_hub import hf_hub_download
import tarfile
# Download reference data
path = hf_hub_download(
repo_id="AlanZee/pyOpenFOAM-reference-data",
filename="openfoam-reference-data.tar.gz",
repo_type="dataset"
)
with tarfile.open(path, "r:gz") as tar:
tar.extractall("validation/reference/openfoam/")
Citation / 引用
@software{pyopenfoam2026,
author = {AlanZee},
title = {pyOpenFOAM: Pure Python/PyTorch CFD with GPU Acceleration},
year = {2026},
url = {https://github.com/AlanZee/pyOpenFOAM}
}
References / 参考文献
Ghia, K.N., Ghia, U., Shin, C.T. (1982). "High-Re solutions for incompressible flow." J. Comput. Phys., 48, 387-411.
Weller, H.G. et al. (1998). "A tensorial approach to computational continuum mechanics." Computers in Physics, 12(6), 620-631.
