Robotics & Machine Learning Daily News2024,Issue(MAY.22) :15-15.

University of Nottingham Reports Findings in Biofuel (Machine learning insights into predicting biogas separation in metal-organic frameworks)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :15-15.

University of Nottingham Reports Findings in Biofuel (Machine learning insights into predicting biogas separation in metal-organic frameworks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Biofue l is the subject of a report. According to news reporting from Nottingham, Unite d Kingdom, by NewsRx journalists, research stated, “Breakthroughs in efficient u se of biogas fuel depend on successful separation of carbon dioxide/methane stre ams and identification of appropriate separation materials. In this work, machin e learning models are trained to predict biogas separation properties of metal-o rganic frameworks (MOFs).”

Key words

Nottingham/United Kingdom/Europe/Biof uel/Biotechnology/Cyborgs/Emerging Technologies/Energy/Machine Learning/Re newable Energy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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