中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Characterization of periodic extreme ultraviolet multilayer based on multi-objective evolutionary algorithm

文献类型:期刊论文

作者Kuang, S. Q.; X. P. Gong and H. G. Yang
刊名Journal of Applied Physics
出版日期2017
卷号122期号:18
英文摘要In order to refine the layered structure of extreme ultraviolet multilayers, a multi-objective evolutionary algorithm which is post-hybridized with the standard Levenberg-Marquardt algorithm is applied to analyze the grazing incidence X-ray reflectivity (GIXR) and the normal incidence extreme ultraviolet reflectance (EUVR). In this procedure, the GIXR data and EUVR data are simultaneously fitted as two objectives, and the high sensitivities of these two sets of data to layer thicknesses and densities are combined. This set of mathematical procedures is conducive to obtain a more correct model of periodic multilayers which can simultaneously describe both GIXR and EUVR measurements. As a result, the layered structure of Mo/Si multilayers with a period of about 7.0 nm is obtained. Published by AIP Publishing.
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/58978]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出
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Kuang, S. Q.,X. P. Gong and H. G. Yang. Characterization of periodic extreme ultraviolet multilayer based on multi-objective evolutionary algorithm[J]. Journal of Applied Physics,2017,122(18).
APA Kuang, S. Q.,&X. P. Gong and H. G. Yang.(2017).Characterization of periodic extreme ultraviolet multilayer based on multi-objective evolutionary algorithm.Journal of Applied Physics,122(18).
MLA Kuang, S. Q.,et al."Characterization of periodic extreme ultraviolet multilayer based on multi-objective evolutionary algorithm".Journal of Applied Physics 122.18(2017).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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