Iterative Approach of Experiment-Machine Learning for Efficient Optimization of Environmental Catalysts: An Example of NO<sub><i>x</i></sub> Selective Reduction Catalysts.

Chen, Yulong; Feng, Jia; Wang, Xin; Zhang, Cheng; Ke, Dongfang; Zhu, Huiyan; Wang, Shuai; Suo, Hongri; Liu, Chongxuan

Iterative Approach of Experiment-Machine Learning for Efficient Optimization of Environmental Catalysts: An Example of NO_x Selective Reduction Catalysts.

Chen, Yulong; Feng, Jia; Wang, Xin; Zhang, Cheng; Ke, Dongfang; Zhu, Huiyan; Wang, Shuai; Suo, Hongri; Liu, Chongxuan.

Afiliação

Chen Y; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Feng J; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Wang X; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Zhang C; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Ke D; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Zhu H; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Wang S; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Suo H; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.
Liu C; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, People's Republic of China.

Environ Sci Technol ; 57(46): 18080-18090, 2023 Nov 21.

Article em En | MEDLINE | ID: mdl-37393584

Assuntos

Amônia; Óxidos; Óxidos de Nitrogênio; Oxirredução; Temperatura; Catálise

Palavras-chave

environmental catalysts; iteration between machine learning and experiments; machine learning; nitrogen oxides; selective catalytic reduction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article