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2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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New ML framework predicts shifts between shots at DIII-D
An artist's sketch and a cross-section view of the DIII-D tokamak. (Images: General Atomics)
At the DIII-D National Fusion Facility near San Diego, Calif., home to the largest operating tokamak in North America, researchers from Thomas Jefferson National Accelerator Facility worked to develop a machine learning framework capable of adaptively predicting changes in a tokamak’s hardware.
The team’s research was recently published in the journal Machine Learning with Applications.
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William T. Sha
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Denwood F. Ross, Jr.
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Regis A. Matzie
2003
Frederick W. Ingram
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Massimo Salvatores
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Mario Carelli
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Herbert Estrada
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Pierre LecocqHerve Freslon
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