首页|Findings from University of Ghent Update Knowledge of Machine Learning (High-thr oughput Screening of Covalent Organic Frameworks for Carbon Capture Using Machine Learning)
Findings from University of Ghent Update Knowledge of Machine Learning (High-thr oughput Screening of Covalent Organic Frameworks for Carbon Capture Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Zwijnaarde , Belgium, by NewsRx correspondents, research stated, “Postcombustioncarbon cap ture provides a high-potential pathway to reduce anthropogenic CO2 emissions in theshort term. In this respect, nanoporous materials, such as covalent organic frameworks (COFs), offer apromising platform as adsorbent beds.”
ZwijnaardeBelgiumEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Ghent
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