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

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

扫码查看
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.”

HuzhouPeople’s Republic of ChinaAlum inum SilicatesBentoniteCyborgsEmerging TechnologiesInorganic ChemicalsMachine LearningOxidesOxygen CompoundsSilicic AcidSilicon CompoundsSil icon Dioxide

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.15)