首页|Findings from Zhejiang University Reveals New Findings on Machine Learning (High -throughput Screening of Dual-atom Catalysts for Methane Combustion: a Combined Density Functional Theory and Machine-learning Study)
Findings from Zhejiang University Reveals New Findings on Machine Learning (High -throughput Screening of Dual-atom Catalysts for Methane Combustion: 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 – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Hangzhou, People’s Re public of China, by NewsRx journalists, research stated, “Ceriasupportedprecio us metal catalysts have undergone extensive investigation for the catalytic meth anecombustion. However, it remains a significant challenge to achieve both high ly synergistic oxidationactivity and efficient atom utilization remains a chall enge for commonly used supported nanoparticles andsingle-atom catalysts.”
HangzhouPeople’s Republic of ChinaAs iaAlkanesCyborgsEmerging TechnologiesMachine LearningMethaneZhejiang University
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