首页|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)
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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NETL
NSTL
Wiley
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.”
NETL
NSTL
Wiley
