Analysis of extended X-ray absorption fine structure spectra using annealing evolutionary algorithms

被引：2

作者：

Cai, WS ^{[1
]}

Wang, LY

Shao, XG

Pan, ZX

机构：

[1] Univ Sci & Technol China, Dept Appl Chem, Anhua 230026, Peoples R China

[2] Univ Sci & Technol China, Dept Chem, Anhua 230026, Peoples R China

来源：

ANALYTICAL COMMUNICATIONS | 1999年 / 36卷 / 08期

关键词：

D O I：

10.1039/a904553h

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

An annealing evolutionary algorithm (AEA), which combines aspects of genetic algorithms and simulated annealing, is proposed to find the global minimum of a non-linear least square function for spectral fitting. By application of the algorithm to the fitting of structural parameters from experimental extended X-ray absorption fine structure (EXAFS) spectra of two Cu samples, it was found that reasonable results were obtained. Comparing with genetic algorithms and EXCURVE88, the AEA method is faster and more accurate in analysis of EXAFS spectra.

引用

页码：313 / 315

页数：3

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