A new AI software tool for monitoring and controlling the plasma inside nuclear fuel systems has been developed by an international collaboration of scientists from Princeton University, Princeton Plasma Physics Laboratory (PPPL), Chung-Ang University, Columbia University, and Seoul National University. The software, which the researchers call Diag2Diag, is described in the paper, “Multimodal super-resolution: discovering hidden physics and its application to fusion plasmas,” published in Nature Communications.

A new theoretical model about stabilizing plasma in tokamak fusion reactors is described in three papers from a study that was led by research physicist Jason Parisi of Princeton Plasma Physics Laboratory. Two papers—“Kinetic-ballooning-limited pedestals in spherical tokamak plasmas” and “Stability and transport of gyrokinetic critical pedestals”—appear in the International Atomic Energy Agency journal Nuclear Fusion. The other paper—“Kinetic-ballooning-bifurcation in tokamak pedestals across shaping and aspect-ratio”—appears in Physics of Plasmas.