Modeling electrochemical impedance spectroscopy

被引：271
|
作者：
Ciucci, Francesco [1 ,2 ]
机构：
[1] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Chem & Biol Engn, Hong Kong, Peoples R China
来源：
CURRENT OPINION IN ELECTROCHEMISTRY | 2019年 / 13卷
关键词：
RELAXATION-TIMES; MIXED CONDUCTORS; FUEL-CELL; ANALYTICAL EXPRESSION; CHEMICAL CAPACITANCE; CHARGE-TRANSFER; THIN-FILMS; ELECTRODE; DECONVOLUTION; DIFFUSION;
D O I：
10.1016/j.coelec.2018.12.003
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Electrochemical impedance spectroscopy (EIS) is a powerful technique that is used for characterizing electrochemical systems. The EIS data can be correlated with many key physical properties, including rates of diffusion and reaction, and microstructural features. However, the EIS analysis is prone to the potential ambiguities in interpretation. Judicious modeling and its combination with statistics can be used to overcome these challenges and enhance the insight one can gain from EIS.
引用
收藏
页码：132 / 139
页数：8
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