首页|Study Data from Southeast University Update Knowledge of Machine Learning (Machi ne Learning for Chemical Looping: Recent Advances and Prospects)

Study Data from Southeast University Update Knowledge of Machine Learning (Machi ne Learning for Chemical Looping: Recent Advances and Prospects)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Jiangsu, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Chemical loop ing is a revolutionary energy conversion method aimed at the low-carbon transfor mationof fossil fuels. The development of this technology primarily involves th e screening of oxygen carriers, thedesign of reactors, and the optimization of process flows, typically requiring extensive experimental trialsand time consum ption.”

JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTechnologySoutheast Unive rsity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.17)