Install-Free Code Tutorial: PINNs in turbulent flow

PINNs code tutorial with documentation and associated publication covered in this blog. Thanks to Mr. Jon Errasti for sharing his code/ project with all of us to tinker with and learn from.

This blog will cover the following for a physics-informed neural networks (PINNs) project:

• Github and Google Colab python code. Completed examples including 3D channel flow, lid-driven cavity, and flow over an airfoil. These will be delivered in such a way that you can run without any installation prep work, or without any local hardware (ie you dont need a GPU or heavy duty workstation)

• Future work/project ideas as a continuation to this project

• Reviewing professor Vinuesa’s publication [1] which inspired this code project

• 39 pages of code documentation to study

• Educational tidbits on turbulent flow and PINNs

Thanks again to Mr. Jon Errasti for sharing his code with me and supporting this blog. To be clear: this is his project/code that he has developed, and with his permission, I am running some of the examples and little exercises while sharing my thoughts for the benefit of the reader’s enjoyment.

Let’s go!