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  5. Tunable Anisotropic Photon Emission from Self-Organized CsPbBr<sub>3</sub> Perovskite Nanocrystals

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Article
en
2017

Tunable Anisotropic Photon Emission from Self-Organized CsPbBr<sub>3</sub> Perovskite Nanocrystals

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en
2017
Vol 17 (7)
Vol. 17
DOI: 10.1021/acs.nanolett.7b02147

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Paul Alivisatos
Paul Alivisatos

University of Chicago

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Matthew J. Jurow
Thomas Lampe
Erika Penzo
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Abstract

We report controllable anisotropic light emission of photons originating from vertically aligned transition dipole moments in spun-cast films of CsPbBr3 nanocubes. By depositing films of nanocrystals on precoated substrates we can control the packing density and resultant radiation pattern of the emitted photons. We develop a technical framework to calculate the average orientation of light emitters, i.e., the angle between the transition dipole moment vector (TDM) and the substrate. This model is applicable to any emissive material with a known refractive index. Theoretical modeling indicates that oriented emission originates from an anisotropic alignment of the valence band and conduction band edge states on the ionic crystal lattice and demonstrates a general path to model the experimentally less accessible internal electric field of a nanosystem from the photoluminescent anisotropy. The uniquely accessible surface of the perovskite nanoparticles allows for perturbation of the normally isotropic emissive transition. The reported sensitive and tunable TDM orientation and control of emitted light will allow for applications of perovskite nanocrystals in a wide range of photonic technologies inaccessible to traditional light emitters.

How to cite this publication

Matthew J. Jurow, Thomas Lampe, Erika Penzo, Jun Kang, Matthew A. Koc, Thomas Zechel, Zachary Nett, Michael Brady, Lin‐Wang Wang, Paul Alivisatos, Stefano Cabrini, Wolfgang Brütting, Yi Liu (2017). Tunable Anisotropic Photon Emission from Self-Organized CsPbBr<sub>3</sub> Perovskite Nanocrystals. , 17(7), DOI: https://doi.org/10.1021/acs.nanolett.7b02147.

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Publication Details

Type

Article

Year

2017

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.nanolett.7b02147

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