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Cited by 462

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Transparent Electrodes for Efficient Optoelectronics

Open access
Morales‐Masis, Monica, De Wolf, Stefaan, Woods‐Robinson, Rachel, Ager, Joel W., Ballif, Christophe·2017·Advanced Electronic Materials

Abstract

With the development of new generations of optoelectronic devices that combine high performance and novel functionalities (e.g., flexibility/bendability, adaptability, semi or full transparency), several classes of transparent electrodes have been developed in recent years. These range from optimized transparent conductive oxides (TCOs), which are historically the most commonly used transparent electrodes, to new electrodes made from nano‐ and 2D materials (e.g., metal nanowire networks and graphene), and to hybrid electrodes that integrate TCOs or dielectrics with nanowires, metal grids, or ultrathin metal films. Here, the most relevant transparent electrodes developed to date are introduced, their fundamental properties are described, and their materials are classified according to specific application requirements in high efficiency solar cells and flexible organic light‐emitting diodes (OLEDs). This information serves as a guideline for selecting and developing appropriate transparent electrodes according to intended application requirements and functionality.

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Metadata

Authors
Morales‐Masis, M., De Wolf, S., Woods‐Robinson, R., Ager, J. W., & Ballif, C.
Venue
Advanced Electronic Materials
Publisher
Wiley
Published
2017-03-30
Volume
3
Issue
5
ISSN
2199-160X (ISSN-L)
OpenAlex
W2597762035
Cited by
462
References
102
FWCI
17.90
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Transparent Electrodes for Efficient Optoelectronics. https://app.cochat.ai/papers/10.1002/aelm.201600529
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Morales‐Masis, M., De Wolf, S., Woods‐Robinson, R., Ager, J. W., & Ballif, C. (2017). Transparent Electrodes for Efficient Optoelectronics. Advanced Electronic Materials. https://doi.org/10.1002/aelm.201600529

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

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