The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphene oxide derivatives as hole- and electron-extraction layers for high-performance polymer solar cells
Abstract
Owing to their solution processability, unique two-dimensional structure, and functionalization-induced tunable electronic structures, graphene oxide (GO) and its derivatives have been used as a new class of efficient hole- and electron-extraction materials in polymer solar cells (PSCs). Highly efficient and stable PSCs have been fabricated with GO and its derivatives as hole- and/or electron-extraction layers. In this review, we summarize recent progress in this emerging research field. We also present some rational concepts for the design and development of the GO-based hole- or electron-extraction layers for high-performance PSCs, along with challenges and perspectives.
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Citations
Cites
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
Cited by
Electrochemistry of Graphene and Related Materials
Ambrosi, A., Chua, C. K., Bonanni, A., & Pumera, M. (2014) · Chemical Reviews · doi:10.1021/cr500023c · Cited by 1,208
Stability of organic solar cells: challenges and strategies
Cheng, P., & Zhan, X. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00593k · Cited by 1,046
Metadata
- Authors
- Liu, J., Durstock, M., & Dai, L.
- Venue
- Energy Environ. Sci.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 7
- Issue
- 4
- Pages
- 1297-1306
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2134747647
- Cited by
- 205
- References
- 1
- FWCI
- 15.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
