首页|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)
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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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.”
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningQueen Mary University of London
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