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The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Characterization of nanostructured hybrid and organic solar cells by impedance spectroscopy

Fabregat-Santiago, Francisco, Garcia-Belmonte, Germà, Mora-Seró, Iván, Bisquert, Juan·2011·Physical Chemistry Chemical Physics

Abstract

We review the application of impedance spectroscopy in dye-sensitized solar cells, quantum dot-sensitized solar cells and organic bulk heterojunction solar cells. We emphasize the interpretation of the impedance parameters for determining the internal features of the device, concerning the carrier distribution, materials properties such as the density of states and/or doping of the semiconductors, and the match of energy levels for photoinduced charge generation and separation. Another central task is the determination of recombination mechanisms from the measured resistances, and the factors governing the device performance by combined analysis of resistances as a function of voltage and current-voltage curves.

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Metadata

Authors
Fabregat-Santiago, F., Garcia-Belmonte, G., Mora-Seró, I., & Bisquert, J.
Venue
Physical Chemistry Chemical Physics
Published
2011
Volume
13
Issue
20
Pages
9083
ISSN
  • 1463-9076 (ISSN-L)
  • 1463-9084
OpenAlex
W2033348850
Cited by
1,206
References
83
FWCI
46.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characterization of nanostructured hybrid and organic solar cells by impedance spectroscopy. https://app.cochat.ai/papers/10.1039/c0cp02249g
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Fabregat-Santiago, F., Garcia-Belmonte, G., Mora-Seró, I., & Bisquert, J. (2011). Characterization of nanostructured hybrid and organic solar cells by impedance spectroscopy. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c0cp02249g

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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.