Robotics & Machine Learning Daily News2024,Issue(Nov.5) :4-4.

Investigators from Jilin University Have Reported New Data on Machine Learning ( Prediction of the Swelling Rate of Irradiated Type 316 Stainless Steels Via Mach ine Learning Methods)

Robotics & Machine Learning Daily News2024,Issue(Nov.5) :4-4.

Investigators from Jilin University Have Reported New Data on Machine Learning ( Prediction of the Swelling Rate of Irradiated Type 316 Stainless Steels Via Mach ine Learning Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Irradiationinduced void s welling typically leads to the degradation of mechanical properties of metals an d the significant decrease in material density, which influences the safety of n uclear reactors.It is essential to understand the irradiation-induced swelling behavior of alloys.”

Key words

Changchun/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Stainless Steel/Jilin Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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