Robotics & Machine Learning Daily News2024,Issue(Sep.4) :78-79.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :78-79.

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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Abstract

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.”

Key words

Idaho Falls/Idaho/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Idaho Na tional Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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