Update README.md
Browse files
README.md
CHANGED
@@ -10,4 +10,30 @@ pinned: false
|
|
10 |
license: mit
|
11 |
---
|
12 |
|
13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
license: mit
|
11 |
---
|
12 |
|
13 |
+
This space provides a visualization of the dataset created in [the papier](https://arxiv.org/abs/2212.07564)
|
14 |
+
|
15 |
+
```
|
16 |
+
@misc{bonnet2023airfranshighfidelitycomputational,
|
17 |
+
title={AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions},
|
18 |
+
author={Florent Bonnet and Ahmed Jocelyn Mazari and Paola Cinnella and Patrick Gallinari},
|
19 |
+
year={2023},
|
20 |
+
eprint={2212.07564},
|
21 |
+
archivePrefix={arXiv},
|
22 |
+
primaryClass={cs.LG},
|
23 |
+
url={https://arxiv.org/abs/2212.07564},
|
24 |
+
}
|
25 |
+
```
|
26 |
+
|
27 |
+
This dataset is used in [the paper]https://arxiv.org/abs/2305.12871
|
28 |
+
|
29 |
+
```
|
30 |
+
@misc{casenave2023mmgpmeshmorphinggaussian,
|
31 |
+
title={MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability},
|
32 |
+
author={Fabien Casenave and Brian Staber and Xavier Roynard},
|
33 |
+
year={2023},
|
34 |
+
eprint={2305.12871},
|
35 |
+
archivePrefix={arXiv},
|
36 |
+
primaryClass={cs.LG},
|
37 |
+
url={https://arxiv.org/abs/2305.12871},
|
38 |
+
}
|
39 |
+
```
|