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Advances in perovskite photodetectors
Author(s) -
Li Chenglong,
Ma Yao,
Xiao Yifan,
Shen Liang,
Ding Liming
Publication year - 2020
Publication title -
infomat
Language(s) - English
Resource type - Journals
ISSN - 2567-3165
DOI - 10.1002/inf2.12141
Subject(s) - photodetector , photoelectric effect , perovskite (structure) , perspective (graphical) , sensitivity (control systems) , computer science , stability (learning theory) , materials science , electronic engineering , optoelectronics , artificial intelligence , engineering , machine learning , chemical engineering
Perovskite photodetectors have gradually shown preeminent photoelectric performance due to the unique material properties. In recent years, lots of works have been reported in improving the sensitivity, changing detection spectrum range and enhancing long‐term stability. Herein, we summarize the some efficient strategies for performance improvement and synchronously analyze severe issues exposed in that. Furthermore, some reasonable proposals are put forward to solve future predicted troubles. In addition, more prospective assumptions are proposed on the basis of the development trend in photoelectric detection fields. We hope this perspective will allow researchers to have a clearer understanding of recent studies based on perovskite photodetectors and inspire more meaningful work in the future.

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