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## Goals

Upon completing this tutorial, the user will be familiar with performing simulations of nonideal compressible fluids through the use of physics-informed neural networks. The flow is simulated through the same supersonic convergent-divergent nozzle as in the [tutorial](NICFD_nozzle.md) for nonideal compressible fluid flows.
Upon completing this tutorial, the user will be familiar with performing simulations of nonideal compressible fluids through the use of physics-informed neural networks. The flow is simulated through the same supersonic convergent-divergent nozzle as in the [tutorial](https://su2code.github.io/tutorials/NICFD_nozzle/) for nonideal compressible fluid flows.
The following capabilities of will be showcased in this tutorial:
- Using [SU2 DataMiner](https://github.com/EvertBunschoten/SU2_DataMiner.git) to train physics-informed neural networks for fluid simulations.
- Data-driven equation of state with multi-layer perceptrons.
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