---
title: PICLas-ML
emoji: 🚀
colorFrom: green
colorTo: indigo
sdk: static
pinned: false
license: cc-by-nc-sa-4.0
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/6a3ba39fb8fcb8576613e774/xCYR6MQp3BP5YrMgMa2nu.png
short_description: Machine-learning models for PICLas
---

# PICLas-ML

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/)