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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Nuclear Science and Engineering
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September 2026
Fusion Science and Technology
August 2026
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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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Maxeta Technologies develops software that supports Nuclear Training, including nTAP, a cloud-based solution for documenting self-assessments prior to an INPO ATV and other assessments. TForce provides a streamlined process for managing training requests, performance analysis and required reading in support of the Systematic Approach to Training.
