首页|Reports Outline Machine Learning Study Findings from Boreskov Institute of Catal ysis (From Synthesis Conditions To Uio-66 Properties: Machine Learning Approach)
Reports Outline Machine Learning Study Findings from Boreskov Institute of Catal ysis (From Synthesis Conditions To Uio-66 Properties: Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Novosibirsk, Russia, by NewsRx correspondents, research stated, “This study delves into understandin g the relationship between synthesis conditions and the resulting properties of the Zrbased metal-organic framework (MOF) UiO-66, with an emphasis on machine l earning (ML) in making quantitative predictions. Utilizing a comprehensive, manu ally curated data set, three ML models are trained to predict UiO-66 properties, including specific surface area, defect concentration, and particle size, based on synthesis parameters.”
NovosibirskRussiaCyborgsEmerging TechnologiesMachine LearningBoreskov Institute of Catalysis
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