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  5. Two-Step Patterning of Scalable All-Inorganic Halide Perovskite Arrays

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Article
en
2020

Two-Step Patterning of Scalable All-Inorganic Halide Perovskite Arrays

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en
2020
Vol 14 (3)
Vol. 14
DOI: 10.1021/acsnano.9b09685

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Peidong Yang
Peidong Yang

University of California, Berkeley

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Chung-Kuan Lin
Qiuchen Zhao
Ye Zhang
+5 more

Abstract

Halide perovskites have many important optoelectronic properties, including high emission efficiency, high absorption coefficients, color purity, and tunable emission wavelength, which makes these materials promising for optoelectronic applications. However, the inability to precisely control large-scale patterned growth of halide perovskites limits their potential toward various device applications. Here, we report a patterning method for the growth of a cesium lead halide perovskite single crystal array. Our approach consists of two steps: (1) cesium halide salt arrays patterning and (2) chemical vapor transport process to convert salt arrays into single crystal perovskite arrays. Characterizations including energy-dispersive X-ray spectroscopy and photoluminescence have been employed to confirm the chemical compositions and the optical properties of the as-synthesized perovskite arrays. This patterning method enables the patterning of single crystal cesium lead halide perovskite arrays with tunable spacing (from 2 to 20 μm) and crystal size (from 200 nm to 1.2 μm) in high production yield (almost every pixel in the array is successfully grown with converted perovskite crystals). Our large-scale patterning method renders a platform for the study of fundamental properties and opportunities for perovskite-based optoelectronic applications.

How to cite this publication

Chung-Kuan Lin, Qiuchen Zhao, Ye Zhang, Stefano Cestellos-Blanco, Qiao Kong, Minliang Lai, Joohoon Kang, Peidong Yang (2020). Two-Step Patterning of Scalable All-Inorganic Halide Perovskite Arrays. , 14(3), DOI: https://doi.org/10.1021/acsnano.9b09685.

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Publication Details

Type

Article

Year

2020

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.9b09685

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