The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.
Device stability of perovskite solar cells – A review
Open accessAbstract
This work provides a thorough overview of state of the art of stability of perovskite solar cells (PSCs) and covers important degradation issues involved in this technology. Degradation factors, which are reported in the literature affecting the stability of PSCs, are discussed. Several degradation mechanisms resulting from thermal and chemical instabilities, phase transformations, exposure to visible and UV light, moisture and oxygen and most importantly sealing issues are thoroughly analyzed. Methods are suggested to study most of these degradation mechanisms in a systematic way. In addition, environmental assessment of PSCs is briefly covered. Alternative materials and their preparation methods are screened with respect to stability of the device. Overall, this work contributes in developing better understanding of the degradation mechanisms and help in improving overall stability of the PSCs.
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Cites
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Long-Range Balanced Electron- and Hole-Transport Lengths in Organic-Inorganic CH 3 NH 3 PbI 3
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Compositional engineering of perovskite materials for high-performance solar cells
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Cited by
Ghosh, A., & Norton, B. (2018) · Renewable Energy · doi:10.1016/j.renene.2018.04.038 · Cited by 196
Metadata
- Authors
- Asghar, M. I., Zhang, J., Wang, H., & Lund, P. D.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 77
- Pages
- 131-146
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2606544528
- Cited by
- 423
- References
- 177
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- green
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- Asghar, M. I., Zhang, J., Wang, H., & Lund, P. D. (2017). Device stability of perovskite solar cells – A review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.04.003
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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.
