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Results for " Superabundant " 1 found 🔀 AI-powered Shuffle
Blending Fusion Science, AI to Predict DIII-D Tokamak Behavior
Data scientists from the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility and partner institutions have developed a deployable machine learning (ML) framework that can adaptively predict changes in a magnetic confinement fusion research machine’s hardware. The innovative method, recently published in the journal Machine Learning with Applications, promises to help make the operation of fusion devices more stable and accelerate humanity’s pursuit of a superabundant