Princeton’s AI Unlocks New Levels of Performance in Fusion Reactors

A team from Princeton has developed a machine learning method to control plasma edge bursts in fusion reactors, achieving high performance without instabilities and reducing computation times dramatically for real-time system adjustments.

Achieving a sustained fusion reaction is a complex, yet delicate balancing act. It requires a sea of moving parts to come together to maintain a high-performing plasma: one that is dense enough, hot enough, and confined for long enough for fusion to take place.