首页|Findings from Xi'an Jiaotong University Yields New Data on Machine Learning (Predictive Control of Reactor Network Model Using Machine Learning for Hydrogen-rich Gas and Biochar Polygeneration By Biomass Waste Gasification In Supercritical ...)
Findings from Xi'an Jiaotong University Yields New Data on Machine Learning (Predictive Control of Reactor Network Model Using Machine Learning for Hydrogen-rich Gas and Biochar Polygeneration By Biomass Waste Gasification In Supercritical ...)
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NETL
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Elsevier
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting origi- nating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Supercritical water gasification (SCWG) technology can convert biomass into hydrogen rich gas and biochar. Fluidized bed reactor is promising for the industrialization of this technology, and the reactor dynamic perfor-mance study is of great significance for its scaling up.” Funders for this research include National Natural Science Foundation of China (NSFC), Shaanxi Science & Technology Co-ordination & Innovation Project, Youth Innovation Team of Shaanxi Universities, NUS Start-up.
Xi’anPeople’s Republic of ChinaAsiaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningTechnologyXi’an Jiao- tong University
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Elsevier
