Step #1: Benchmark CFD example

Physics-Informed Machine Learning with NVIDIA Modulus (Latest Version)

This tutorial steps through the process of solving a 2D flow for the Lid Driven Cavity (LDC) example using physics-informed neural networks (PINNs). In this tutorial, you will learn how to:

  • Generate a 2D geometry using Modulus’ geometry module;

  • Set up the boundary conditions;

  • Select the flow equations to be solved;

  • Interpret the different losses and tune the network; and

  • Do basic post-processing


Lid driven cavity geometry

More detailed description of the example can be found in Modulus documentation here

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