首页|Zhengzhou University Reports Findings in Machine Learning (Machine Learning-Aide d Discovery of Low-Pt High Entropy Intermetallic Compounds for Electrochemical O xygen Reduction Reaction)
Zhengzhou University Reports Findings in Machine Learning (Machine Learning-Aide d Discovery of Low-Pt High Entropy Intermetallic Compounds for Electrochemical O xygen Reduction Reaction)
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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 newsreporting originating from Zhengzhou, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Advancing the design of cathode catalysts to significantly maximize platinum utilization andaugment the longevity has emerged as a formidable challenge in the field of fuel cells. Herein, we rationallydesign a high entropy intermetallic compound ( HEIC, Pt(FeCoNiCu)) for catalyzing oxygen reductionreaction (ORR) by an efficie nt machine learning stategy, where crystal graph convolutional neural networksa re employed to expedite the multicomponent design.”
ZhengzhouPeople’s Republic of ChinaA siaChalcogensChemicalsCyborgsElectrochemicalsEmerging TechnologiesMa chine Learning
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