MIT researchers have made progress in nuclear fusion by developing a physics-based machine learning model to predict plasma behavior in tokamak reactors, aiding safer and more reliable energy production, marking a significant step toward practical fusion energy.
Scientists at PPPL have developed a method to manage plasma in fusion reactors by utilizing magnetic field imperfections, inspired by the Japanese art of Kintsugi. By tailoring magnetic field imperfections, they have enhanced plasma stability, paving the way for more reliable and efficient fusion power. This approach allows simultaneous control of instabilities in the core and edge of the plasma, a significant breakthrough in fusion research. The research has implications for future tokamak fusion pilot plants and is being extended to include an artificial intelligence version of the control system for greater efficiency.