Self-Powered, Low-Poling-Field and High-Photoresponsivity Perovskite-Based Photodetectors for Neuromorphic Vision

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.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-05-10
DOI
https://doi.org/10.1021/acsaelm.5c00356
Citations
2
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
1.46

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article

Self-Powered, Low-Poling-Field and High-Photoresponsivity Perovskite-Based Photodetectors for Neuromorphic Vision

Weiwei Meng, Zhen Hong Fan, Li Huang, Mingzhu Long et al.
2 citations
ACS Applied Electronic Materials
Perovskite Materials and Applications
1.46
article

Self-Powered, Low-Poling-Field and High-Photoresponsivity Perovskite-Based Photodetectors for Neuromorphic Vision

Weiwei Meng, Zhen Hong Fan, Li Huang, Mingzhu Long, Guofu Zhou, Weiguang Xie, H. Yin, Zefeng Chen, Bo Wu, Zhiguo Nie
article en
2 citations

Abstract

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.

ACS Applied Electronic MaterialsVol. 7(10)
South China Normal University (CN), Academy of Opto-Electronics (CN)
Foundation for Distinguished Young Talents in Higher Education of Guangdong, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 18%
Perovskite Materials and Applications
1.46
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