The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bright and Efficient Full-Color Colloidal Quantum Dot Light-Emitting Diodes Using an Inverted Device Structure
Abstract
We report highly bright and efficient inverted structure quantum dot (QD) based light-emitting diodes (QLEDs) by using solution-processed ZnO nanoparticles as the electron injection/transport layer and by optimizing energy levels with the organic hole transport layer. We have successfully demonstrated highly bright red, green, and blue QLEDs showing maximum luminances up to 23,040, 218,800, and 2250 cd/m(2), and external quantum efficiencies of 7.3, 5.8, and 1.7%, respectively. It is also noticeable that they showed turn-on voltages as low as the bandgap energy of each QD and long operational lifetime, mainly attributed to the direct exciton recombination within QDs through the inverted device structure. These results signify a remarkable progress in QLEDs and offer a practicable platform for the realization of QD-based full-color displays and lightings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bright, multicoloured light-emitting diodes based on quantum dots
Sun, Q., Wang, Y. A., Li, L. S., Wang, D., Zhu, T., Xu, J., Yang, C., & Li, Y. (2007) · Nature Photonics · doi:10.1038/nphoton.2007.226 · Cited by 1,147
Cited by
Future Perspectives and Review on Organic Carbon Dots in Electronic Applications
Semeniuk, M., Yi, Z., Poursorkhabi, V., Tjong, J., Jaffer, S., Lu, Z.-H., & Sain, M. (2019) · ACS Nano · doi:10.1021/acsnano.9b00688 · Cited by 367
A Bioinspired Stretchable Sensory‐Neuromorphic System
Kim, S. H., Baek, G. W., Yoon, J., Seo, S., Park, J., Hahm, D., Chang, J. H., Seong, D., Seo, H., Oh, S., et al. (2021) · Advanced Materials · doi:10.1002/adma.202104690 · Cited by 142
Self-citation
Metadata
- Authors
- Kwak, J., Bae, W. K., Lee, D., Park, I., Lim, J., Park, M., Cho, H., Woo, H., Yoon, D. Y., Char, K., Lee, S., & Lee, C.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-04-06
- Volume
- 12
- Issue
- 5
- Pages
- 2362-2366
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2004235995
- Cited by
- 942
- References
- 1
- FWCI
- 27.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
