Highest fusion performance without harmful edge energy bursts in tokamak
2 institutional releases
Published in Nature Communications · View the paper (DOI)
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.
Coverage from 2 institutions
- Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion DOE/Princeton Plasma Physics Laboratory · May 14, 2024 · first to report
- AI approach elevates plasma performance and stability across fusion devices Princeton University, Engineering School · Jun 5, 2024