Robotics & Machine Learning Daily News2024,Issue(Jul.5) :55-56.

New Findings from University of Manchester in the Area of Machine Learning Repor ted (Engineering Machine Learning Features To Predict Adsorption of Carbon Dioxi de and Nitrogen In Metalorganic Frameworks)

Robotics & Machine Learning Daily News2024,Issue(Jul.5) :55-56.

New Findings from University of Manchester in the Area of Machine Learning Repor ted (Engineering Machine Learning Features To Predict Adsorption of Carbon Dioxi de and Nitrogen In Metalorganic Frameworks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Manchester, United Kingdom, by NewsRx journalists, research stated, “In this article, we proposesimple, interp retable machine learning (ML) features aimed at improving the accuracy of ML mod els inpredicting adsorption of gases, such as methane, ethane, propane, krypton , and xenon, in metal-organicframeworks (MOFs). In particular, we introduce ene rgy-based features that incorporate surface energyhistograms and radial distrib ution functions.”

Key words

Manchester/United Kingdom/Europe/Anio ns/Carbon Dioxide/Chemicals/Cyborgs/Emerging Technologies/Engineering/Inor ganic Carbon Compounds/Machine Learning/Nitrogen/Oxides/University of Manche ster

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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