4.8 Article

Large-Scale Growth of Ultrathin Low-Dimensional Perovskite Nanosheets for High-Detectivity Photodetectors

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 12, 期 2, 页码 2884-2891

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.9b18826

关键词

low-dimensional perovskite; antisolvent-assisted crystallization approach; nanosheets; large size; ultrathin; photodetectors

资金

  1. National Natural Science Foundation of China [51525202, 51772084, 21703059, 61804052, 51902098]
  2. China Postdoctoral Science Foundation [2019M652749]

向作者/读者索取更多资源

Low-dimensional organic-inorganic hybrid perovskites have demonstrated to be promising semiconductor materials due to their unique optoelectronic properties, however, the controllable growth of high-quality ultrathin 2D perovskites with large lateral dimension still faces great challenges. Herein, we report the controllable growth of largescale ultrathin 2D (C6H5(CH2)(3)NH3)(3)Pb2I7 ((PPA)(3)Pb2I7) perovskite nanosheets (NSs) using a facile antisolvent-assisted crystallization approach under mild condition. As a result, the well-defined regular-shaped (PPA)(3)Pb2I7 NSs, with the largest lateral size over 100 mu m, have been successfully synthesized, which is more than several ten times larger than that of other 2D perovskite NSs previously reported. Moreover, the thickness of the achieved 2D perovskite NSs can be well-tuned by altering the concentration of the precursor solution, with the smallest thickness down to similar to 4.7 nm. More importantly, the photodetectors based on the high-quality (PPA)(3)Pb2I7 perovskites exhibit fascinating performance, including an extremely low dark current (similar to 1.5 pA), fast response/recovery rate (similar to 850/780 mu s), and high detectivity (similar to 1.2 x 10(10) Jones). This work provides a simple and promising strategy to controllably grow large-scale and ultrathin 2D perovskite NSs for low-cost and high-performance optoelectronic devices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据