metadata
title: AirfRANS remeshed visualization
emoji: 🏆
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 5.16.0
app_file: app.py
pinned: false
license: mit
This space provides a visualization of the dataset created in the paper:
@misc{bonnet2023airfranshighfidelitycomputational,
title={AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions},
author={Florent Bonnet and Ahmed Jocelyn Mazari and Paola Cinnella and Patrick Gallinari},
year={2023},
eprint={2212.07564},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2212.07564},
}
This dataset is used in the paper, and available at at huggingface and Zenodo.
@misc{casenave2023mmgpmeshmorphinggaussian,
title={MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability},
author={Fabien Casenave and Brian Staber and Xavier Roynard},
year={2023},
eprint={2305.12871},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2305.12871},
}