Robotics & Machine Learning Daily News2024,Issue(Dec.18) :76-76.

Reports from Queen Mary University of London Provide New Insights into Machine L earning (Impact of Amorphous Structure On Co2 Electrocatalysis With Cu: a Combin ed Machine Learning Forcefield and Dft Modelling Approach)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :76-76.

Reports from Queen Mary University of London Provide New Insights into Machine L earning (Impact of Amorphous Structure On Co2 Electrocatalysis With Cu: a Combin ed Machine Learning Forcefield and Dft Modelling Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reportingoriginating from London, Unit ed Kingdom, by NewsRx correspondents, research stated, “Amorphousmaterials hold significant promise for enhancing electrocatalytic CO2 reduction (CO2R) perform ance, buttheir intricate structures present challenges in understanding their b ehaviour. We present a computationalinvestigation combining machine learning fo rce fields and DFT calculations to explore amorphous copper(Cu) as a potential catalyst for the CO2R to C1 and C2 products.”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/Queen Mary University of London

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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