posted on 2025-05-10, 15:03authored byLi Huang, Zefeng Chen, Zhiguo Nie, Weiwei Meng, Zhen Fan, Hao Yin, Weiguang Xie, Bo Wu, Guofu Zhou, Mingzhu Long
Reconfigurable photodetectors inspired by neural ion
channel functions
have attracted significant interest for neuromorphic vision technologies.
Despite this, current devices often face challenges such as requiring
high poling voltages or suffering from low photoresponsivity. In this
work, we introduce a hybrid perovskite heterojunction photosensor
that overcomes these limitations. The device offers a low poling field
requirement, enhanced photoresponsivity, self-powered capability,
and nonvolatility. Its photovoltaic behavior can be easily modified
through ion migration induced by the poling field. Impressively, it
achieves a high photoresponsivity of 137.4 mA W–1 at a minimal poling field of 3 V μm–1. This
places it among the top-performing reconfigurable photodetectors.
The device’s ability to switch photovoltaic properties enables
advanced object imaging, while its adjustable photoresponsivity supports
real-time sensing and computation. Notably, the perovskite-based artificial
neural network achieves flawless pattern recognition, offering functions
such as edge enhancement and resolution reduction, demonstrating great
potential for energy-efficient machine vision applications.