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Cited by 196

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Block copolymer strategies for solar cell technology

Topham, Paul D., Parnell, Andrew J., Hiorns, Roger C.·2011·Journal of Polymer Science Part B: Polymer Physics

Abstract

A simple overview of the methods used and the expected benefits of block copolymers in organic photovoltaic devices is given in this review. The description of the photovoltaic process makes it clear how the detailed self‐assembly properties of block copolymers can be exploited. Organic photovoltaic technology, an inexpensive, clean and renewable energy source, is an extremely promising option for replacing fossil fuels. It is expected to deliver printable devices processed on flexible substrates using high‐volume techniques. Such devices, however, currently lack the long‐term stability and efficiency to allow organic photovoltaics to surpass current technologies. Block copolymers are envisaged to help overcome these obstacles because of their long term structural stability and their solid‐state morphology being of the appropriate dimensions to efficiently perform charge collection and transfer to electrodes. © 2011 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys, 2011

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Crossref · 10.1002/polb.22302

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Metadata

Authors
Topham, P. D., Parnell, A. J., & Hiorns, R. C.
Venue
Journal of Polymer Science Part B: Polymer Physics
Publisher
Wiley
Published
2011-06-28
Volume
49
Issue
16
Pages
1131-1156
ISSN
  • 0887-6266 (ISSN-L)
  • 1099-0488
OpenAlex
W2068207859
Cited by
196
References
3
FWCI
15.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Block copolymer strategies for solar cell technology. https://app.cochat.ai/papers/10.1002/polb.22302
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Topham, P. D., Parnell, A. J., & Hiorns, R. C. (2011). Block copolymer strategies for solar cell technology. Journal of Polymer Science Part B: Polymer Physics. https://doi.org/10.1002/polb.22302

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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.