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Finding the shadows in a fusion system faster with AI

The AI model HEAT-ML cuts simulation time to milliseconds, aiding fusion system design and helping CFS target net energy gain with SPARC by 2027, researchers say.

Summary by Phys.org
A public‑private partnership between Commonwealth Fusion Systems (CFS), the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) and Oak Ridge National Laboratory has led to a new artificial intelligence (AI) approach that is faster at finding what's known as "magnetic shadows" in a fusion vessel: safe havens protected from the intense heat of the plasma.

7 Articles

Inside a fusion reactor there are temperatures that destroy every material. But now a way has been found to detect hidden protection zones that can withstand the inferno. read more on t3n.de

AI makes fusion research faster: HEAT-ML shortens safety calculations in the tokamak from 30 minutes to milliseconds – and could speed up the way to clean energy.The article From 30 minutes to milliseconds: AI gives fusion research Turbo-Boost first appeared on ingenieur.de - job market and news portal for engineers.

·Düsseldorf, Germany
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Phys.org broke the news in United Kingdom on Wednesday, August 13, 2025.
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