The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.
Perovskite Quantum Dots for Application in High Color Gamut Backlighting Display of Light-Emitting Diodes
Abstract
Lead halide perovskite quantum dots (LHP QDs) exhibit great potential in the backlighting display of light-emitting diode applications. Light-emitting backlighting with high brightness, low cost, and wide color gamut can be achieved based on LHP QDs, which have the advantages of high luminescence performance, tunable emission, and facile synthesis. However, some drawbacks, including instability and large-scale synthesis, that restrict the practical application of LHP QDs remain. This Review focuses on solutions to these obstacles. The gap between fundamental knowledge to backlighting applications must be narrowed. The strategies for stability improvements and scalable synthesis are summarized and clarified. This Review provides inspiration for the optimization of LHP QDs, promotes their application in wide color gamut backlighting, and contributes to current and future display solutions.
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Cites
Efficient Hybrid Solar Cells Based on Meso-Superstructured Organometal Halide Perovskites
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Quantum Dot Light‐Emitting Diodes Based on Inorganic Perovskite Cesium Lead Halides (CsPbX3)
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Metadata
- Authors
- Wang, X., Bao, Z., Chang, Y.-C., & Liu, R.-S.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-10-12
- Volume
- 5
- Issue
- 11
- Pages
- 3374-3396
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W3093093177
- Cited by
- 265
- References
- 138
- FWCI
- 13.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, X., Bao, Z., Chang, Y.-C., & Liu, R.-S. (2020). Perovskite Quantum Dots for Application in High Color Gamut Backlighting Display of Light-Emitting Diodes. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.0c01860
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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.