Fluid · Education & Research
GPU-Accelerated Turbulence Modeling (RANS/LES) for Education & Research
Apply the gpu-accelerated turbulence modeling (rans/les) to real education & research problems — in the browser, with AI assistance.
This is the gpu-accelerated variant of the Turbulence Modeling (RANS/LES). RANS averages the flow and models turbulence, while LES resolves large eddies and models the small ones — trading cost for fidelity.
In education & research, teams face challenges like license cost, reproducibility, accessibility. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as classroom labs, reproducible research, interactive coursework, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Education & Research use cases
- Classroom labs
- Reproducible research
- Interactive coursework
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