Using Physics Informed Neural Network (PINN) to Improve a k-omega Turbulence Model

pyCALC-RANS has now been extended with PINN.

• View paper
  
• Download the code here (53 MB, 28 June 2026) Read README file.
• Flowchart
• pyCALC-RANS report.
• The PINN Python script is found in folder PINN and also found here
• Please read the README file

• L. Davidson
  "Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a k-omega Turbulence Model", Journal of Turbulence, vol. 27, issue 7, pp. 187--208, 2026.
  Download paper, Python scripts and CFD codes
  
  

• Download the 3D DNS/LES/DES pyCALC-LES code here

• Lars Davidson www page
  
• MTF073 CFD course
  
• Heat Transfer course
  
• Mechanics of fluids
  
• Turbulence modeling
  
• Compressible flow
• OpenFOAM
  
• PhD course: LES and DES using an in-house Python code
  
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• PhD course in CFD