The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Colloidal Quantum Dot Solar Cells
Abstract
Colloidal quantum dot research has led to significant advances in synthesis methods, in material and film processing techniques, and in characterization and optimization of optoelectronic properties. Studies of novel passivation strategies, including new or hybrid ligand systems, surface engineering, core/shell strategies, and self-healing surfaces, will reduce trap states, improve carrier transport, and reduce the extent of energy level pinning. Another route to improved electronic transport in quantum dot films will rely on densifying nanocrystal films through improved packing and, ideally ordering. Such films will eliminate diversity in path length and thus tortuosity in charge transport through the device. Significant studies have been performed on the electron-transporting component yet as the optoelectronic quality of the quantum dot solid improves, even greater enhancements will be required in both the electron- and hole-accepting layers to ensure optimal performance. Research will need to adjust existing systems or apply novel material solutions, while intensely studying the interfaces between the quantum dot film and electrodes to eliminate any potential losses. Finally, as single-junction quantum dot solar cells advance and improve, a renewed focus will be placed on multiple-junction integration, with the goal of creating high-efficiency devices through improved spectral utilization and minimal loss associated with photocarrier thermalization.
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Cites
Colloidal nanocrystal synthesis and the organic–inorganic interface
Yin, Y., & Alivisatos, A. P. (2005) · Nature · doi:10.1038/nature04165 · Cited by 3,273
Improved performance and stability in quantum dot solar cells through band alignment engineering
Chuang, C.-H. M., Brown, P. R., Bulović, V., & Bawendi, M. G. (2014) · Nature Materials · doi:10.1038/nmat3984 · Cited by 1,795
Air-stable n-type colloidal quantum dot solids
Ning, Z., Voznyy, O., Pan, J., Hoogland, S., Adinolfi, V., Xu, J., Li, M., Kirmani, A. R., Sun, J.-P., Minor, J., et al. (2014) · Nature Materials · doi:10.1038/nmat4007 · Cited by 619
Self-citationMid-infrared HgTe colloidal quantum dot photodetectors
Keuleyan, S., Lhuillier, E., Brajuskovic, V., & Guyot-Sionnest, P. (2011) · Nature Photonics · doi:10.1038/nphoton.2011.142 · Cited by 503
Cited by
Semiconductor Quantum Dots: An Emerging Candidate for CO2 Photoreduction
Wu, H., Li, X., Tung, C., & Wu, L. (2019) · Advanced Materials · doi:10.1002/adma.201900709 · Cited by 486
Chen, M., Zou, Y., Wu, L., Pan, Q., Yang, D., Hu, H., Tan, Y., Zhong, Q., Xu, Y., Liu, H., et al. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201701121 · Cited by 389
Xiao, J., Liu, P., Wang, C. X., & Yang, G. W. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.02.004 · Cited by 352
Franke, D., Harris, D. K., Chen, O., Bruns, O. T., Carr, J. A., Wilson, M. W. B., & Bawendi, M. G. (2016) · Nature Communications · doi:10.1038/ncomms12749 · Cited by 292
Colloidal quantum dot photodetectors with 10-ns response time and 80% quantum efficiency at 1,550 nm
Vafaie, M., Fan, J. Z., Morteza Najarian, A., Ouellette, O., Sagar, L. K., Bertens, K., Sun, B., García de Arquer, F. P., & Sargent, E. H. (2021) · Matter · doi:10.1016/j.matt.2020.12.017 · Cited by 252
Self-citation
Metadata
- Authors
- Carey, G. H., Abdelhady, A. L., Ning, Z., Thon, S. M., Bakr, O. M., & Sargent, E. H.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-06-24
- Volume
- 115
- Issue
- 23
- Pages
- 12732-12763
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2299260139
- Cited by
- 1,230
- References
- 4
- FWCI
- 5.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Carey, G. H., Abdelhady, A. L., Ning, Z., Thon, S. M., Bakr, O. M., & Sargent, E. H. (2015). Colloidal Quantum Dot Solar Cells. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.5b00063
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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.