Princeton’s AI Control Software Steered Fusion Plasma Away from Instability in Real Tests on a U.S. Tokamak
Nature World News | 18.09.2026 09:57
Software built at the U.S. Department of Energy's Princeton Plasma Physics Laboratory and Princeton University ran real-time control of fusion plasma in five experiments at the DIII-D National Fusion Facility in San Diego, according to a paper in Nuclear Fusion. In one test, a machine learning model predicted a tearing mode instability about 200 milliseconds before it appeared, and the plasma was adjusted to avoid it.
