SuperWing DFlow

The SuperWing smoke example uses SuperWingParameterGeometry and a lightweight surrogate-compatible evaluator.

Smoke Run

python examples/superwing/run_superwing_dflow.py --smoke

Config Run

flowdesign generate --config configs/superwing/dflow.yaml

If data/superwing/configs.dat is missing, the example can fall back to a default prior. Local datasets are intentionally not committed to the public repository.

Outputs

The result object stores:

• generated samples
• evaluator outputs such as CL, CD, and CM
• losses
• feasibility masks
• summary metrics