peterdsharpe / NeuralFoil
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Compressible aerodynamics, including transonic and supersonic aerodynamics. AeroSandbox will generally get the critical Mach number accurate to within $\pm 0.01$ or so. Subsonic corrections done using a Laitone correction (a higher-order va
- Post-stall aerodynamics (i.e., truly 360 degree range of $\alpha$). This is useful for applications like wind turbine blades or propeller roots, where the airfoil may be operating at high angles of attack.
- Control surface deflections. Currently only trailing-edge control surface deflections are supported in AeroSandbox's NeuralFoil interface.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 36 days ago
- Stars
- 506
- +6 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 46% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 88% closed
- 1 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 46%
- TeX 44%
- BibTeX Style 9%
- Shell <1%
Topics
- aerodynamics
- airfoil
- cfd
- machine-learning
- aerodynamic-analysis
- aerospace
- aircraft
- aircraft-design
- airplane
- hydrodynamics
- mdao
- mdo
Project record
- JobOther AI tools
- StatusListed
- Commits394
- Forks62
- Watching12
- Stars in 28 days+15
- CreatedJul 2, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026