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


pyCALC-RANS has now been extended with PINN and NN.

  • Lars Davidson, "Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a k-omega Turbulence Model", Journal of Turbulence, https://doi.org/10.1080/14685248.2026.2665148, vol. 27, issue 7, pp. 187--208, 2026
    view paper
  • Download the PINN and NN Pythons scripts and the CFD code here (53 MB, 28 June 2026) Read README file.
  • The hill flow case is found in pyCALC-LES
  • Flowchart
  • pyCALC-RANS report.
  • Please read the README file

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








Department of Mechanical Engineering
Division of Fluid Dynamice