SuperWing supplies 4,239 diverse wing shapes and 28,856 flow-field solutions that let Transformer models predict surface aerodynamics to 2.5 drag-count error and generalize zero-shot to DLR-F6 and NASA CRM wings.
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks, May 2024
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SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
SuperWing supplies 4,239 diverse wing shapes and 28,856 flow-field solutions that let Transformer models predict surface aerodynamics to 2.5 drag-count error and generalize zero-shot to DLR-F6 and NASA CRM wings.