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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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Westinghouse Electric Company is the world's pioneering nuclear energy company and a leading supplier of nuclear plant products and technologies to utilities throughout the world. Westinghouse supplied the world's first commercial pressurized water reactor in 1957. Today, Westinghouse technology is the basis for approximately one-half of the world's operating nuclear plants. Together, we advance technology and services to power a clean, carbon-free future.
