Princeton AI Revolutionizes Fusion Reactor Performance and Stability
Researchers at Princeton and the Princeton Plasma Physics Laboratory have developed a machine learning method to control plasma edge bursts in fusion reactors, significantly enhancing performance without causing damage. This breakthrough allows for real-time optimization, reducing computation times from tens of seconds to milliseconds, and has been successfully tested at two different fusion facilities. The approach holds promise for future fusion devices, including ITER, and represents a significant advancement in the quest for sustainable fusion energy.
