Synthesis and characterization of BaAl2O4: Ce and Mn-Ce- co-doped BaAl2O4 composite materials by a modified polyacrylamide gel method and prediction of photocatalytic activity using artificial neural network (ANN) algorithm

doi:10.1016/j.ijleo.2020.165363

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	Synthesis and characterization of BaAl2O4: Ce and Mn-Ce- co-doped BaAl2O4 composite materials by a modified polyacrylamide gel method and prediction of photocatalytic activity using artificial neural network (ANN) algorithm
	Wang, Shifa 3,4; Wang, Yong 3; Gao, Huajing 2,3; Li, Jinyu 3; Fang, Leiming 1; Yu, Xianlun 3; Tang, Shengnan 3; Zhao, Xinxin 3; Sun, Guangzhuang 3
刊名	Optik
	2020-11-01
卷号	221
关键词	Aluminum chloride Aluminum compounds Aromatic compounds Barium compounds Cerium compounds Charge transfer Complexation Composite materials Crystal structure Gamma rays Irradiation Light absorption Manganese compounds MATLAB Morphology Neural networks Organometallics Semiconductor doping Surface morphology Artificial neural network modeling Modified polyacrylamides Neural network algorithm Photo catalytic degradation Photocatalytic performance Polyacrylamide gel method Separation efficiency Synthesis and characterizations
ISSN号	00304026
DOI	10.1016/j.ijleo.2020.165363
英文摘要	BaAl2O4:Ce and Mn-Ce-co-doped BaAl2O4 composite materials were synthesized with barium nitrate, cerium trichloride hexahydrate, aluminum trichloride hydrate and manganese acetate tetrahydrate as the raw materials by a gamma-ray irradiation assisted polyacrylamide gel method. The doping of Ce or Ce and Mn ions with BaAl2O4 improves the surface morphology, optical, photoluminescence, electrochemical properties and photocatalytic activities of the matrix material, but did not change the crystal structure of the matrix material. BaAl2O4:Ce:Mn composite materials exhibits high light absorption capacity, charge transfer capacity and separation efficiency, and photocatalytic activity for photocatalytic degradation of methylene blue dye under simulated sunlight irradiation. Based on the study of the effects of catalyst content, dye concentration, pH value and irradiation time on photocatalytic activity for the BaAl2O4:Ce:Mn composite materials, an artificial neural network model was established with Matlab software to simulate its photocatalytic performance. The results show that the neural network algorithm has potential applications in the simulation of photocatalytic activity of semiconductor materials. © 2020 Elsevier GmbH
WOS研究方向	Optics
语种	英语
出版者	Elsevier GmbH
WOS记录号	WOS:000585916500047
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115737]
专题	兰州理工大学
作者单位	1.Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics, Mianyang; Sichuan; 621900, China; 2.School of Science, Lanzhou University of Technology, Lanzhou; 730050, China 3.School of Electronic and Information Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing; 404000, China; 4.Chongqing key laboratory of geological environment monitoring and disaster early-warning in three gorges reservoir area, Chongqing Three Gorges University, Wanzhou, Chongqing; 404000, China;
推荐引用方式 GB/T 7714	Wang, Shifa,Wang, Yong,Gao, Huajing,et al. Synthesis and characterization of BaAl2O4: Ce and Mn-Ce- co-doped BaAl2O4 composite materials by a modified polyacrylamide gel method and prediction of photocatalytic activity using artificial neural network (ANN) algorithm[J]. Optik,2020,221.
APA	Wang, Shifa.,Wang, Yong.,Gao, Huajing.,Li, Jinyu.,Fang, Leiming.,...&Sun, Guangzhuang.(2020).Synthesis and characterization of BaAl2O4: Ce and Mn-Ce- co-doped BaAl2O4 composite materials by a modified polyacrylamide gel method and prediction of photocatalytic activity using artificial neural network (ANN) algorithm.Optik,221.
MLA	Wang, Shifa,et al."Synthesis and characterization of BaAl2O4: Ce and Mn-Ce- co-doped BaAl2O4 composite materials by a modified polyacrylamide gel method and prediction of photocatalytic activity using artificial neural network (ANN) algorithm".Optik 221(2020).