U.S. PACMAN AI Framework Achieves Millisecond-Level Control of Fusion Plasma
The PACMAN AI framework, developed by researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Princeton University, has completed five experimental validations in real fusion experimental systems. The framework can complete data processing, state prediction, and control command output in approximately 20 milliseconds, addressing rapidly developing instabilities in fusion plasma. This is an artist's rendition of the PACMAN AI framework for fusion systems. (Illustration credit: Kyle Palmer / PPPL Communications Department) PACMAN stands for Prediction and Control via Machine Learning. Related design and preliminary experimental results have been published in...
2026-09-03
