The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Doping-Enhanced Short-Range Order of Perovskite Nanocrystals for Near-Unity Violet Luminescence Quantum Yield
Open accessAbstract
All-inorganic perovskite nanocrystals (NCs) have emerged as a new generation of low-cost semiconducting luminescent system for optoelectronic applications. The room-temperature photoluminescence quantum yields (PLQYs) of these NCs in the green and red spectral range approach unity. However, their PLQYs in the violet are much lower, and an insightful understanding of such poor performance remains missing. We report a general strategy for the synthesis of all-inorganic violet-emitting perovskite NCs with near-unity PLQYs through engineering local order of the lattice by nickel ion doping. A broad range of experimental characterizations, including steady-state and time-resolved luminescence spectroscopy, X-ray absorption spectra, and magic angle spinning nuclear magnetic resonance spectra, reveal that the low PLQY in undoped NCs is associated with short-range disorder of the lattice induced by intrinsic defects such as halide vacancies and that Ni doping can substantially eliminate these defects and result in increased short-range order of the lattice. Density functional theory calculations reveal that Ni doping of perovskites causes an increase of defect formation energy and does not introduce deep trap states in the band gap, which is suggested to be the main reason for the improved local structural order and near-unity PLQY. Our ability to obtain violet-emitting perovskite NCs with near-perfect properties opens the door for a range of applications in violet-emitting perovskite-based devices such as light-emitting diodes, single-photon sources, lasers, and beyond.
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Cites
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Shannon, R. D. (1976) · Acta Crystallographica Section A · doi:10.1107/s0567739476001551 · Cited by 66,145
Strongly emissive perovskite nanocrystal inks for high-voltage solar cells
Akkerman, Q. A., Gandini, M., Di Stasio, F., Rastogi, P., Palazon, F., Bertoni, G., Ball, J. M., Prato, M., Petrozza, A., & Manna, L. (2016) · Nature Energy · doi:10.1038/nenergy.2016.194 · Cited by 721
Origin of the Size-Dependent Stokes Shift in CsPbBr 3 Perovskite Nanocrystals
Brennan, M. C., Herr, J. E., Nguyen-Beck, T. S., Zinna, J., Draguta, S., Rouvimov, S., Parkhill, J., & Kuno, M. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b05683 · Cited by 326
Cited by
Metal-Doped Lead Halide Perovskites: Synthesis, Properties, and Optoelectronic Applications
Zhou, Y., Chen, J., Bakr, O. M., & Sun, H.-T. (2018) · Chemistry of Materials · doi:10.1021/acs.chemmater.8b02989 · Cited by 650
Self-citationAchieving Near-Unity Photoluminescence Efficiency for Blue-Violet-Emitting Perovskite Nanocrystals
Mondal, N., De, A., & Samanta, A. (2019) · ACS Energy Letters · doi:10.1021/acsenergylett.8b01909 · Cited by 435
Bi, C., Wang, S., Li, Q., Kershaw, S. V., Tian, J., & Rogach, A. L. (2019) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.9b00290 · Cited by 367
Dutta, A., Behera, R. K., Pal, P., Baitalik, S., & Pradhan, N. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201900374 · Cited by 361
Metadata
- Authors
- Yong, Z.-J., Guo, S.-Q., Ma, J.-P., Zhang, J.-Y., Li, Z.-Y., Chen, Y.-M., Zhang, B.-B., Zhou, Y., Shu, J., Gu, J.-L., Zheng, L.-R., Bakr, O. M., & Sun, H.-T.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-16
- Volume
- 140
- Issue
- 31
- Pages
- 9942-9951
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2884598928
- Cited by
- 712
- References
- 5
- FWCI
- 30.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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