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Cited by 363

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Ultrastable near-infrared perovskite light-emitting diodes

Guo, Bingbing, Lai, Runchen, Jiang, Sijie, Zhou, Linming, Ren, Zhixiang, Lian, Yaxiao, Li, Puyang, Cao, Xuhui, Xing, Shiyu, Wang, Yaxin, Li, Weiwei, Zou, Chen, Chen, Mengyu, Hong, Zijian, Li, Cheng, Zhao, Baodan, Di, Dawei·2022·Nature Photonics

Abstract

Perovskite light-emitting diodes (PeLEDs) have emerged as a strong contender for next-generation display and information technologies. However, similar to perovskite solar cells, the poor operational stability remains the main obstacle toward commercial applications. Here we demonstrate ultra-stable and efficient PeLEDs with extraordinary operational lifetimes (T 50 ) of 1.0×10 4 h, 2.8×10 4 h, 5.4×10 5 h, and 1.9×10 6 h at initial radiance (or current densities) of 3.7 W sr -1 m -2 (~5 mA cm -2 ), 2.1 W sr -1 m -2 (~3.2 mA cm 2 ), 0.42 W sr -1 m -2 (~1.1 mA cm -2 ), and 0.21 W sr -1 m -2 (~0.7 mA cm -2 ) respectively, and external quantum efficiencies

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Metadata

Authors
Guo, B., Lai, R., Jiang, S., Zhou, L., Ren, Z., Lian, Y., Li, P., Cao, X., Xing, S., Wang, Y., Li, W., Zou, C., Chen, M., Hong, Z., Li, C., Zhao, B., & Di, D.
Venue
Nature Photonics
Published
2022-08-08
Volume
16
Issue
9
Pages
637-643
ISSN
  • 1749-4885 (ISSN-L)
  • 1749-4893
OpenAlex
W4290672369
Cited by
363
References
45
FWCI
21.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ultrastable near-infrared perovskite light-emitting diodes. https://app.cochat.ai/papers/10.1038/s41566-022-01046-3
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Guo, B., Lai, R., Jiang, S., Zhou, L., Ren, Z., Lian, Y., Li, P., Cao, X., Xing, S., Wang, Y., Li, W., Zou, C., Chen, M., Hong, Z., Li, C., Zhao, B., & Di, D. (2022). Ultrastable near-infrared perovskite light-emitting diodes. Nature Photonics. https://doi.org/10.1038/s41566-022-01046-3

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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.