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

	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 1,2; Wang, Yong 1; Gao, Huajing 1,4; Li, Jinyu 1; Fang, Leiming 3; Yu, Xianlun 1; Tang, Shengnan 1; Zhao, Xinxin 1; Sun, Guangzhuang 1
	2020-11
发表期刊	Optik
ISSN	00304026
卷号	221
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
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
DOI	10.1016/j.ijleo.2020.165363
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Optics
WOS类目	Optics
WOS记录号	WOS:000585916500047
出版者	Elsevier GmbH
EI入藏号	20203209008199
EI主题词	Photocatalytic activity
EI分类号	712.1 Semiconducting Materials - 741.1 Light/Optics - 802.2 Chemical Reactions - 804 Chemical Products Generally - 804.1 Organic Compounds - 921 Mathematics - 931.3 Atomic and Molecular Physics - 933.1.1 Crystal Lattice - 951 Materials Science
来源库	Compendex
分类代码	712.1 Semiconducting Materials - 741.1 Light/Optics - 802.2 Chemical Reactions - 804 Chemical Products Generally - 804.1 Organic Compounds - 921 Mathematics - 931.3 Atomic and Molecular Physics - 933.1.1 Crystal Lattice - 951 Materials Science
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/115737
专题	兰州理工大学
通讯作者	Wang, Shifa; Gao, Huajing
作者单位	1.Chongqing Three Gorges Univ, Sch Elect & Informat Engn, Chongqing 404000, Wanzhou, Peoples R China; 2.Chongqing Three Gorges Univ, Chongqing Key Lab Geol Environm Monitoring & Disa, Chongqing 404000, Wanzhou, Peoples R China; 3.China Acad Engn Phys, Inst Nucl Phys & Chem, Mianyang 621900, Sichuan, Peoples R China; 4.Lanzhou Univ Technol, Sch Sci, Lanzhou 730050, Peoples R China
通讯作者单位	理学院
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).