anon-ml-2026/Wing-MD
Wing-MD: A Multidisciplinary Dataset for Machine Learning-Driven Aerostructural Wing Design Wing-MD is a dataset that comprises of aerostructural analysis of multiple wing geometries in different operating conditions. This aerostructural wing dataset can be used to train ML models for performing aerostructural analysis of 3D transonic wing geometries. It can also be used to benchmark new ML-based approaches for multidisciplinary analysis and optimization (MDAO). NOTE: If you do not want to… See the full description on the dataset page: https://huggingface.co/datasets/anon-ml-2026/Wing-MD.
| Author / organization | anon-ml-2026 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 130 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 May 2026 |
| Last updated at source | 11 May 2026 |
Popularity, last 3 days
130 now. Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.