Robotics & Machine Learning Daily News2024,Issue(Apr.12) :93-94.

University of Crete Researchers Detail Findings in Machine Learning (Comparison of machine learning approaches for the identification of top-performing material s for hydrogen storage)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :93-94.

University of Crete Researchers Detail Findings in Machine Learning (Comparison of machine learning approaches for the identification of top-performing material s for hydrogen storage)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Heraklion, Gre ece, by NewsRx editors, the research stated, “Unique properties of Metal-Organic Frameworks (MOFs), such as their extremely high surface areas and porosity, ren der them as oneof, if not the most promising adsorbents for gas storage applica tions.”

Key words

University of Crete/Heraklion/Greece/Europe/Cyborgs/Elements/Emerging Technologies/Gases/Hydrogen/Inorganic Che micals/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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