首页|Zhejiang Agriculture & Forestry University Details Findings in Mac hine Learning (Prediction of Holey Graphyne-supported Single Atom Catalyst for N itrogen Reduction Reaction By Interpretable Machine Learning and First-principle s Calculations)
Zhejiang Agriculture & Forestry University Details Findings in Mac hine Learning (Prediction of Holey Graphyne-supported Single Atom Catalyst for N itrogen Reduction Reaction By Interpretable Machine Learning and First-principle s Calculations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Zhejiang, People’s Republic of China, by NewsRx journalists, research stated, “The electrocatalyticnitrogen r eduction reaction (NRR) with efficient and selective electrocatalysts has emerge d as a promisingalternative for sustainable ammonia synthesis. In this study, w e designed a novel class of singleatomcatalysts (SACs), denoted as TM@HGY, by e mbedding 3d, 4d, and 5d transition metals into synthesizedholey graphyne (HGY), and investigated their potential for NRR using a combined approach of density functional theory (DFT) calculations and machine learning.”
ZhejiangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNitrogenZhejiang Agricul ture & Forestry University
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