Multiscale Dynamics
Combining scientific computing with model reduction and machine learning, with particular focus on plasma dynamics in lightning and space weather, and in high voltage and plasma technology.
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Nature and technology are full of dynamics, often involving multiple scales in length, time and energy. To model these processes, we combine scientific computing with model reduction and machine learning, with particular focus on plasma dynamics in lightning, plasma technology and high-voltage engineering.
Within national and European projects, we collaborate with colleagues in applied plasma physics, electrical and mechanical engineering, atmospheric electricity, and cosmic particle and space science, and with non-academic partners.
Find more about our work (including publications) on the personal homepages of the staff scientists:
- Ute Ebert (group leader)
- Jannis Teunissen
and on the page with our numerical codes for Multiscale Plasma Dynamics.
Group photos: June 2022, January 2020 and in January 2018.
Members
Associated members
Current projects with external funding
- Making plasma-assisted combustion efficient
- Green sparks Understanding the electric breakdown dynamics of eco-friendly insulating gases for high voltage technology (Green Sparks)
- Plasma for Plants: Towards controlled and efficient plasma-activated water generation for a cleaner environment (Plasma for Plants)
- Reliable nExt GENERation Actuation sysTEms (REGENERATE)
