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Cited by 498

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Modeling electrochemical impedance spectroscopy

Open access
Ciucci, Francesco·2019·Current Opinion in Electrochemistry

Abstract

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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Metadata

Authors
Ciucci, F.
Venue
Current Opinion in Electrochemistry
Publisher
Elsevier BV
Published
2019-02
Volume
13
Pages
132-139
ISSN
2451-9103 (ISSN-L)
OpenAlex
W2904240834
Cited by
498
References
4
FWCI
4.12
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Modeling electrochemical impedance spectroscopy. https://app.cochat.ai/papers/10.1016/j.coelec.2018.12.003
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Ciucci, F. (2019). Modeling electrochemical impedance spectroscopy. Current Opinion in Electrochemistry. https://doi.org/10.1016/j.coelec.2018.12.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.