Related Work

Current Publications

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

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

@dataset{blastnet2.0_2023,
  author       = {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},
  title        = {BLASTNet Simulation Dataset},
  month        = june,
  year         = 2023,
  note         = {URL: https://blastnet.github.io/},
  publisher    = {Zenodo},
  version      = {2.0},
  doi          = {10.5281/zenodo.8034232},
  url          = {https://doi.org/10.5281/zenodo.8034232}
}

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}
}

Previous Publications

  1. 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]
  2. 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)