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PPPL develops framework for unifying tokamak ML control models
Princeton Plasma Physics Laboratory announced that researchers at the lab, in collaboration with Princeton University, have developed a general algorithm for prediction and control in tokamak systems and have tested it at DIII-D, as presented in a recent Nuclear Fusion paper.
According to the paper, most machine learning (ML)–based tools for use in fusion machines have been implemented as stand-alone demonstrations, aiming to predict the plasma profile, suppress a form of instability, for example. PPPL’s project provides a framework that aims to accommodate these disparate models into an integrated system, which the team calls PACMAN (Prediction and Control Using Machine Learning).
Kansas State University
Department of Mechanical and Nuclear EngineeringManhattan, KS
Posted August 25, 2026
Advance Nuclear Engineering at K-State
Join a growing nuclear engineering program at Kansas State University. We're seeking faculty for open-rank, tenure-track or tenured positions with expertise in fusion and radiation protection to advance research, educate future engineers and help shape the future of nuclear technology.
Fusion expertise
Ideal candidates have a strong research backgrounds in AI methods and burning plasma.
For more information and to apply, visit engg.us/fusion.
Kansas State University offers a supportive and inclusive community, dedicated to your professional growth. While specific benefits may vary by position, many roles come with comprehensive packages that support your well-being and work-life balance, including health and life insurance, retirement plans, and generous paid time off. To learn more about benefits that are available for various positions, visit our benefits overview page.