Our 2024 Breakthrough in Nuclear Fusion with Artificial Intelligence

Cutting-Edge Fusion Research by Princeton’s Plasma Control Group

Read about our research, led by Egemen Kolemen and conducted by researchers including Jaemin Seo, SangKyeun Kim, and Azarakhsh Jalalvand, affiliated with Princeton University and Princeton Plasma Physics Lab (PPPL).

Publication on Nature
Avoiding fusion plasma tearing instability with deep reinforcement learning

Researchers Involved: Jaemin SeoSangKyeun KimAzarakhsh JalalvandRory ConlinAndrew RothsteinJoseph AbbateKeith EricksonJosiah WaiRicardo Shousha & Egemen Kolemen.

Other Videos

We are looking for postdocs graduate students to join our team

The Plasma Control group is looking for new postdoctoral researchers and graduate students to conduct research on topics including:

  • Machine learning for fusion applications (1 postdoc and 2 grad students)
  • Stellarator equilibrium and QS code development (1 postdoc or grad student)
  • Stellarator optimization via machine learning (1 postdoc or grad student)
  • DIII-D: pedestal analysis/control, plasma stability analysis/control (1 postdoc or grad student)
  • KSTAR: ELM physics and control (1 postdoc and 1 grad student)
  • NSTX-U: Thomson scattering and plasma control (1 postdoc and 2 grad students)
  • Liquid metal technology and science (LMX-U experiment): Experiments/Simulation of liquid metal (Lithium, Gallium) flow under electromagnetic conditions for fusion reactor plasma-facing components  (1 postdoc and 1 grad student)
  • Low temperature plasma: Plasma laser diagnostics for chemical reaction catalysis (methane reforming)  (1 postdoc or grad student)

Funds are available immediately. Postdoctoral researcher can start 2022/2023 and can work remotely. Please contact the principal investigator, Egemen Kolemen, ekolemen at princeton dot edu, for more information.