Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NOx with NH3 through Interpretable Machine Learning-Reference-Cited by-同舟云学术

Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NO_x with NH₃ through Interpretable Machine Learning

Published:2024-01-12 Issue:3 Volume:16 Page:3593-3604
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Lu Muyu¹,Gao Fengyu¹,Tan Yiran¹,Yi Honghong¹^ORCID,Gui Yang²,Xu Yan²,Wang Ya¹,Zhou Yuansong¹,Tang Xiaolong¹^ORCID,Chen Linjiang³^ORCID

Affiliation:

1. School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China

2. Institute of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China

3. School of Chemistry and School of Computer Science, University of Birmingham, Birmingham B15 2TT, U.K.

Funder

China Scholarship Council

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

University of Science and Technology Beijing

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c18490

Reference41 articles.

1. Selective Catalytic Reduction of NOx with NH3 by Using Novel Catalysts: State of the Art and Future Prospects

2. Mechanistic Investigation of the Promotion Effect of Bi Modification on the NH3–SCR Performance of Ce/TiO2 Catalyst

3. Synthesis and catalytic performance of Cu1Mn0.5Ti0.5O mixed oxide as low-temperature NH3-SCR catalyst with enhanced SO2 resistance

4. Conquering ammonium bisulfate poison over low-temperature NH3-SCR catalysts: A critical review

5. Manganese oxide-based catalysts for low-temperature selective catalytic reduction of NO x with NH 3 : A review

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