首页|Reports from University of the Philippines Los Banos Advance Knowledge in Machine Learning (O- and Oh-induced Dopant Segregation In Single Atom Alloy Surfaces: a Combined Density Functional Theory and Machine Learning Study)
Reports from University of the Philippines Los Banos Advance Knowledge in Machine Learning (O- and Oh-induced Dopant Segregation In Single Atom Alloy Surfaces: a Combined Density Functional Theory and Machine Learning Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Laguna, Philippines, by NewsRx correspondents, research stated, “In this study, we identifiedthe significant factors affecting adsorbate-induced segregation in single-atom alloy (SAA) surfaces byperforming Density Functional Theory (DFT)-based calculations and machine learning (ML) methods. Weused O and OH species, which are key reactants in oxygen reduction reactions (ORR), as test adsorbates.”
LagunaPhilippinesAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of the Philippines Los Banos
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