首页|Investigators at School of Energy Science and Engineering Report Findings in Mac hine Learning (Machine-learning-aided Prediction and Engineering of Nitrogen-con taining Functional Groups of Biochar Derived From Biomass Pyrolysis)
Investigators at School of Energy Science and Engineering Report Findings in Mac hine Learning (Machine-learning-aided Prediction and Engineering of Nitrogen-con taining Functional Groups of Biochar Derived From Biomass Pyrolysis)
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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 reportingfrom Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Biochar, derivedthrough biomass pyrolysis, is an emerging carbonaceous material with significant potential in v ariousapplications. The performance of biochar in applications depends heavily on its surface characteristics,including its content of N-containing functional groups.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesEngineeringMachine LearningSchool of Ene rgy Science and Engineering
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