Issue 37, 2018

Solvent engineering for high conversion yields of layered raw materials into large-scale freestanding hybrid perovskite nanowires

Abstract

Hybrid organic–inorganic perovskite nanowires have received considerable attention for applications in optoelectronic fields; however, practical implementation of perovskite nanowires into optoelectronic devices is often hindered by low product yields, scaled-up synthesis, or overall lack of synthetic control. Herein, we report novel insights into large-scale freestanding lead halide perovskite nanowires using a series of solvent effects. A facile pathway for converting layered raw materials to nanowires with high conversion yields can facilitate the large-scale applications of nanowires, which could help us understand the unique aspects of the formation chemistry of the materials. We introduced a two-step process to obtain perovskite nanowires without an impurity phase that first involves the formation of Pb-containing nanowires with the poor solvent drip method. Subsequently, the as-prepared Pb-containing precursors can be used as morphology templates for converting completely into perovskite nanowires with high conversion yields of 83% through a series of solvent effects, such as solvent-driven, solvent-removing, solvent-exchange and solvent-growth. The synthetic strategy was demonstrated to be applicable for other perovskite-based materials, which can offer a comprehensive understanding of the formation mechanism of perovskite-based materials.

Graphical abstract: Solvent engineering for high conversion yields of layered raw materials into large-scale freestanding hybrid perovskite nanowires

Supplementary files

Article information

Article type
Paper
Submitted
14 Jun 2018
Accepted
17 Aug 2018
First published
20 Aug 2018

Nanoscale, 2018,10, 17722-17729

Solvent engineering for high conversion yields of layered raw materials into large-scale freestanding hybrid perovskite nanowires

J. Gu, J. Wu, C. Jin, X. Sun, B. Yin, G. C. Zhang, B. Wen and F. Gao, Nanoscale, 2018, 10, 17722 DOI: 10.1039/C8NR04833A

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