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jakharkaran authored Jul 1, 2023
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Expand Up @@ -12,6 +12,12 @@ Py2D is a Python solver for incompressible 2-dimensional (2D) Navier-stokes equa

Py2D leverages JAX, a high-performance numerical computing library, allowing for rapid execution on GPUs while also seamlessly supporting CPUs for users who do not have access to GPUs.

**Py2D features the following capabilities:**

- Direct numerical simulations (DNS) for 2-dimensional (2D) turbulence, catering to a variety of systems including decaying, forced homogeneous, and beta-plane turbulence.
- Large Eddy Simulations (LES) with Sub-Grid Scale (SGS) models. The compatible models include Smagorinsky (SMAG), Leith (LEITH), Dynamic Smagorinsky (DSMAG), Dynamic Leith (DLEITH), as well as gradient models - GM2, GM4, and GM6.
- Coupling Neural Networks-based eddy viscosity or Sub-Grid Scale (SGS) terms with the LES solver.

## Installation

Clone the [py2d git repository](https://github.com/envfluids/py2d.git) to use the latest development version.
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