首页|Studies from Idaho National Laboratory in the Area of Machine Learning Reported (Segmentation and Classification of Fission As Pores In Reactor Iirradiated Annu lar U-10zr Metallic Fuel Using Machine Learning Models)
Studies from Idaho National Laboratory in the Area of Machine Learning Reported (Segmentation and Classification of Fission As Pores In Reactor Iirradiated Annu lar U-10zr Metallic Fuel Using Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Idaho Fall s, Idaho, by NewsRx correspondents, research stated, “Metallic fuels,particular ly U-10Zr, are promising candidates for next-generation sodium-cooled fast react ors. Irradiationof nuclear fuels in reactors can lead to the formation of solid and gas fission product which subsequentlyforms microstructural pores, deterio rating fuel performance.”
Idaho FallsIdahoUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningIdaho Na tional Laboratory
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