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.
