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.