Researchers from Princeton University have developed an AI model capable of predicting plasma instabilities in tokamak reactors, potentially addressing a critical challenge in nuclear fusion.
The model helps maintain magnetic field stability within donut-shaped reactors by predicting disruptions and allowing for timely interventions that prevent plasma from escaping.
Chijin Xiao emphasized the importance of managing plasma instabilities, noting that failure to do so can lead to catastrophic reactor damage and energy release.
The study published in Nature marks a significant advancement in making fusion reactors more viable by addressing one of the most challenging issues in sustaining nuclear fusion.
[
Collection
]
[
|
...
]