Citation information for BLASTNet, related works, and constituent datasets.

Current Publications

When using this dataset, please cite: (i) our NeurIPS paper (ii) our dataset:

Cite this website/datasets [Links: Zenodo DOI | .bib]:

@dataset{blastnet3.0_2026,
  author       = {W. T. Chung, M. Ihme, K. S. Jung, J. H. Chen, J. Guo, D. Brouzet, M. Telei, B. Jiang, B. Savard, A. Y. Poludnenko, B. Akoush, P. Sharma, A. Tamkin, Q. Wang, S. Shashane, Y. Chen, V. Coulon, C. J. Lapeyre, M. Gauding, R. Samuel, M. Bode, J. Schumacher, B. Yeo, J. Z. Ho, Q. Malé, C. Gazen, D. Dotson, P.K. Yeung, M. Lee, Z. Yanqi, J. Xing, R. Kurose, G. Biondini, A. Bivolcic, L. Jofre Cruanyes, D. Martín, G. Barea, C. Monteiro & C. Chi},
  title        = {BLASTNet Multiphysics Simulation Dataset},
  month        = aug,
  year         = 2026,
  note         = {URL: https://blastnet.github.io/},
  publisher    = {Zenodo},
  version      = {3.0},
  doi          = {10.5281/zenodo.21348075},
  url          = {https://doi.org/10.5281/zenodo.21348075},
}

Cite our NeurIPS paper [Links: Paper | .bib]:

@article{chung2023turbulence,
  title={Turbulence in focus: Benchmarking scaling behavior of 3D volumetric super-resolution with BLASTNet 2.0 data},
  author={W. T. Chung, B. Akoush, P. Sharma, A. Tamkin, K. S. Jung, J. H. Chen, J. Guo, D. Brouzet, M. Talei, B. Savard, A.Y. Poludnenko and M. Ihme},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  pages={77430--77484},
  year={2023}
}
  1. W. T. Chung, M. Ihme, K. S. Jung, J. H. Chen, J. Guo, D. Brouzet, M. Talei, B. Jiang, B. Savard, A. Y. Poludnenko, B. Akoush, P. Sharma & A. Tamkin. BLASTNet Multiphysics Simulation Dataset (Version 2), 2023. URL https://doi.org/10.5281/zenodo.7242864. [Dataset,.bib]
  2. W. T. Chung, K. S. Jung, J. H. Chen & M. Ihme. BLASTNet: A call for community-involved big data in combustion machine learning. Applications in Energy and Combustion Science (2022) 12 no. 100087. [Paper,.bib]
  3. W. T. Chung, K. S. Jung, J. H. Chen & M. Ihme. The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning. In ICML 2022 2nd AI for Science Workshop. [Paper,.bib]

If you wish to cite individual configurations, please click here to search for .bib files and DOIs.

All datasets provided on BLASTNet are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)