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| title: PICLas-ML |
| emoji: 🚀 |
| colorFrom: green |
| colorTo: indigo |
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| license: cc-by-nc-sa-4.0 |
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| https://cdn-uploads.huggingface.co/production/uploads/6a3ba39fb8fcb8576613e774/xCYR6MQp3BP5YrMgMa2nu.png |
| short_description: Machine-learning models for PICLas |
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| |
| # PICLas-ML |
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|
| Machine-learning models for [PICLas](https://github.com/piclas-framework/piclas) an open-source, 3D particle-based |
| kinetic simulation framework for plasma dynamics and rarefied gas flows. |
|
|
| ## What we work on |
| - Machine-learning models used in PICLas - e.g. as gas-surface interaction (GSI) / scattering kernels |
| - Models are designed to be downloaded directly by PICLas and used during a simulation |
|
|
| ## Repositories |
| - `PICLas-ML/GSI` - gas-surface interaction / scattering kernel models. See the repo for |
| architecture, training data, and usage details. |
|
|
| ## Links |
| - Code: [PICLas-Github](https://github.com/piclas-framework/piclas) |
| - Documentation: [PICLas-ReadTheDocs](https://piclas.readthedocs.io/en/latest/) |
| - Developed in collaboration between the [Institute of Space Systems at the University of Stuttgart](https://www.irs.uni-stuttgart.de/en/) and the spinoff company [Boltzplatz](https://boltzplatz.eu/) |
