首页|New Machine Learning Study Findings Have Been Reported by Investigators at Beiji ng University of Technology (Efficient Machine Learning Model Focusing On Active Sites for the Discovery of Bifunctional Oxygen Electrocatalysts In Binary Alloys)
New Machine Learning Study Findings Have Been Reported by Investigators at Beiji ng University of Technology (Efficient Machine Learning Model Focusing On Active Sites for the Discovery of Bifunctional Oxygen Electrocatalysts In Binary Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “The distinctive characteristicsof all oy catalysts, encompassing composition, structure, and modifiable adsorption sit es, present significantpotential for the development of highly efficient electr ocatalysts for oxygen evolution/reduction reactions[oxygen e volution reactions (OERs)/oxygen reduction reactions (ORRs)]. Machine learning (ML) methodscan quickly establish the relationship between ma terial features and catalytic activity, thus acceleratingthe development of all oy electrocatalysts.”
BeijingPeople’s Republic of ChinaAsi aChalcogensCyborgsEmerging TechnologiesMachine LearningBeijing Univers ity of Technology
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