Robotics & Machine Learning Daily News2024,Issue(Jul.15) :106-107.

Huzhou University Reports Findings in Machine Learning (Predicting anion diffusi on in bentonite using hybrid machine learning model and correlation of physical quantities)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :106-107.

Huzhou University Reports Findings in Machine Learning (Predicting anion diffusi on in bentonite using hybrid machine learning model and correlation of physical quantities)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Huzhou, People ’s Republic of China, by NewsRx journalists, research stated,“Radionuclide diff usion will be influenced by numerous factors. Establishing a model that can eluc idate theinternal correlation between mesoscopic diffusion and the microscopic structure of bentonite can enhancethe comprehension of radionuclide diffusion m echanisms.”

Key words

Huzhou/People’s Republic of China/Alum inum Silicates/Bentonite/Cyborgs/Emerging Technologies/Inorganic Chemicals/Machine Learning/Oxides/Oxygen Compounds/Silicic Acid/Silicon Compounds/Sil icon Dioxide

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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