介电谱
电阻抗
材料科学
扩散
电化学
光谱学
纳米技术
生物系统
分析化学(期刊)
化学
物理
工程类
电气工程
电极
热力学
环境化学
物理化学
生物
量子力学
标识
DOI:10.1016/j.coelec.2018.12.003
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.
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