University of Crete Reports Findings in Machine Learning (Tailoring ammonia capt ure in MOFs and COFs: A multi-scale and machine learning comprehensive investiga tion of functional group modification)

Robotics & Machine Learning Daily News2024，Issue(Mar.19) ：64-64.DOI:10.1002/cphc.202300721

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University of Crete Reports Findings in Machine Learning (Tailoring ammonia capt ure in MOFs and COFs: A multi-scale and machine learning comprehensive investiga tion of functional group modification)

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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 Crete, Greec e, by NewsRx correspondents, research stated, “Our study aims to examine the imp act of ligand functionalization on the ammonia adsorption properties of MOFs and COFs, by combining multi-scale calculations with machine learning techniques. D ensity Functional Theory calculations were performed to investigate the interact ions between ammonia (NH ) and a comprehensive set of 48 strategically chosen fu nctional groups.”

Key words

Crete/Greece/Europe/Ammonia/Cyborgs/Emerging Technologies/Machine Learning/Nitrogen Compounds

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出版年

2024

Robotics & Machine Learning Daily News

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