首页|Researchers from Oak Ridge Associated Universities Report Recent Findings in Mac hine Learning (Optimal Control of the Electron Temperature Profile In Diii-d Usi ng Machine Learning Surrogate Models)
Researchers from Oak Ridge Associated Universities Report Recent Findings in Mac hine Learning (Optimal Control of the Electron Temperature Profile In Diii-d Usi ng Machine Learning Surrogate Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in San Diego, C alifornia, by NewsRx journalists, research stated, “The viability of the tokamak as a potential fusion reactor depends on the ability to keep the plasma in a st able regime while achieving temperatures, densities, and confinement times that are as high as possible. Tokamak scenario development attempts to find plasma re gimes that achieve all of these conditions and are accessible with a given set o f hardware constraints.”
San DiegoCaliforniaUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningOak R idge Associated Universities
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