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Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion

PPPL researchers utilize machine learning to perfect plasma vessel design, optimize heating methods, and maintain stable control of fusion reactions. The team achieves significant results by predicting disruptions and adjusting settings before instabilities occur, enabling high-confinement modes in tokamaks.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNature Communications·DateMay 14, 2024

Novel strategy provides simple solution for stellarator permanent magnet design

Researchers developed a new 'two-step' magnet design strategy to standardize permanent magnet blocks, improving assembly accuracy and reducing technical barriers. The design enables mass production of identical cubic magnet blocks, which can be arranged in Halbach arrays for higher field strength.

Permanent magnets stronger than those on refrigerator could be a solution for delivering fusion energy

Scientists have proposed using permanent magnets to simplify the design and production of stellarators, which are twisty fusion facilities that can produce massive amounts of energy. This innovation could lead to the creation of simpler, non-twisted coils and lower costs for engineering and manufacturing.

SourceDOE/Princeton Plasma Physics Laboratory·JournalPhysical Review Letters·DateMar 11, 2020