Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval

	Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval
	Zhang, P. G.; C. L. Yang; Z. H. Xu; Z. L. Cao; Q. Q. Mu and L. Xuan
	2016
发表期刊	Optics Express
卷号	24 期号:22
摘要	Black-colored ZnO nanowires have been prepared in a metal-organic chemical vapor deposition system by employing a relatively low growth temperature and oxygen-deficient conditions. X-ray photoelectron spectroscopy reveals the incorporation of carbon into the nanowires. The photocatalytic hydrogen evolution activity of the black-colored ZnO nanowires is over 2.5 times larger than that of the pristine ZnO nanowires under simulated solar illumination conditions, and the enhanced photocatalytic activity can be attributed to the higher absorption of visible light by the black color and better carrier separation at the ZnO/carbon interface.
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57427
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhang, P. G.,C. L. Yang,Z. H. Xu,et al. Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval[J]. Optics Express,2016,24(22).
APA	Zhang, P. G.,C. L. Yang,Z. H. Xu,Z. L. Cao,&Q. Q. Mu and L. Xuan.(2016).Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval.Optics Express,24(22).
MLA	Zhang, P. G.,et al."Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval".Optics Express 24.22(2016).

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