Robotics & Machine Learning Daily News2024,Issue(Oct.16) :40-41.

University of Michigan Reports Findings in Machine Learning (Machine Learning Pr edictions of Methane Storage in MOFs: Diverse Materials, Multiple Operating Cond itions, and Reverse Models)

Robotics & Machine Learning Daily News2024,Issue(Oct.16) :40-41.

University of Michigan Reports Findings in Machine Learning (Machine Learning Pr edictions of Methane Storage in MOFs: Diverse Materials, Multiple Operating Cond itions, and Reverse Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Ann Arbor, M ichigan, by NewsRx correspondents, research stated, “A machine learning (ML) mod el is developed for predicting useable methane (CH) capacities in metal-organic frameworks (MOFs). The model applies to a wide variety of MOFs, including those with and without open metal sites, and predicts capacities for multiple pressure swing conditions.”

Key words

Ann Arbor/Michigan/United States/Nort h and Central America/Alkanes/Cyborgs/Emerging Technologies/Machine Learning/Methane

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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