首页|New Machine Learning Study Results Reported from Shanghai University (Water-tolerant and Anti-dust Ceco-mno2 Membrane Catalysts for Low Temperature Selective Catalytic Reduction of Nitrogen Oxides)
New Machine Learning Study Results Reported from Shanghai University (Water-tolerant and Anti-dust Ceco-mno2 Membrane Catalysts for Low Temperature Selective Catalytic Reduction of Nitrogen Oxides)
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NETL
NSTL
Elsevier
Investigators discuss new findings in Machine Learning. According to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, “The present work successfully proposes a domain knowledge-guided Machine Learning (ML) strategy, which successes the development of a water-tolerant anti-dust catalyst for Low-Temperature (LT) Selective Catalytic Reduction (SCR) of nitrogen oxides (NOx) from catalyst discovery to industrial deployment. The discovered catalyst is able to convert 99 % of NOx at 150 degrees C in the standard waste gas, even in the waste gas containing 7 vol % of water vapors, the efficiency is still retained at 97 %. The superior LT activity and water-tolerance are attributed to abundant surface-active oxygen, Bronsted acid and microcellular structure.” Financial support for this research came from Introduced Jointed Research and Development Institution of Jiangxi. Our news journalists obtained a quote from the research from Shanghai University, “The SCR reaction mainly follows the Eley-Rideal (E-R) pathway driven by Bronsted acid and the Langmuir-Hinshelwood (LH) pathway maintained by abundant reactive oxygen species in moisture waste gases. And then, catalyst is synthesized on a polyphenylene sulfide filter to render the membrane configuration in order to have the anti-dust ability. The final membrane catalyst has the capacity of converting 95 % NOx in the waste gas containing 7 vol% of moisture at 150 degrees C and the dedusting, and denitrification ability.”
ShanghaiPeople's Republic of ChinaAsiaAnionsCyborgsEmerging TechnologiesMachine LearningNitrogenNitrogen CompoundsNitrogen OxidesOxidesOxygen CompoundsShanghai University
NETL
NSTL
Elsevier
