metadata
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 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
- Documentation: PICLas-ReadTheDocs
- Developed in collaboration between the Institute of Space Systems at the University of Stuttgart and the spinoff company Boltzplatz