Air‐Stable Hydrogen‐Substituted Graphdiyne/2D Halide Perovskite Heterojunction for Self‐Powered Neuromorphic Vision

Abstract Neuromorphic visual systems that mimic human vision can efficiently capture and process visual information with an in‐sensor computing paradigm. However, photoelectronic devices with high light sensitivity, stability and tunable charge‐carrier interactions are still required for constructing such systems. Herein, a heterojunction of two‐dimensional (2D) hydrogen‐substituted graphdiyne (HsGDY) and 2D (BA) 2 PbI 4 perovskite for neuromorphic photoelectric sensing and visual information processing is demonstrated. The 2D perovskite functions as a light‐to‐electricity conversion layer, and the 2D HsGDY forms heterojunction with the perovskite layer with well‐matched energy bands to allow effective charge injection in the heterojunction at zero‐voltage bias. The unique sp‐sp 2 hybridization and alkyne bonds in the HsGDY thin film provide abundant charge‐carrier interactive sites that enable efficient neuromorphic information processing. The device is utilized for environmentally adaptive vision and experience learning. Excitatory post‐synaptic current (EPSC) gain and paired‐pulse facilitation (PPF) index of the device stored in ambient air for 7 weeks retained 95% and 98% of the initial values. A device array is fabricated, applicable to perceive and process dynamic visual information. These results provide a device basis for future intelligent neuromorphic vision hardware.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-17
DOI
https://doi.org/10.1002/adfm.202504542
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

Funders

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article

Air‐Stable Hydrogen‐Substituted Graphdiyne/2D Halide Perovskite Heterojunction for Self‐Powered Neuromorphic Vision

Wentao Xu, Zhipeng Xu, Changshui Huang, Deyi Zhang et al.
7 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
5.11
article

Air‐Stable Hydrogen‐Substituted Graphdiyne/2D Halide Perovskite Heterojunction for Self‐Powered Neuromorphic Vision

Wentao Xu, Zhipeng Xu, Changshui Huang, Deyi Zhang, Yiming Yuan
article en
7 citations

Abstract

Abstract Neuromorphic visual systems that mimic human vision can efficiently capture and process visual information with an in‐sensor computing paradigm. However, photoelectronic devices with high light sensitivity, stability and tunable charge‐carrier interactions are still required for constructing such systems. Herein, a heterojunction of two‐dimensional (2D) hydrogen‐substituted graphdiyne (HsGDY) and 2D (BA) 2 PbI 4 perovskite for neuromorphic photoelectric sensing and visual information processing is demonstrated. The 2D perovskite functions as a light‐to‐electricity conversion layer, and the 2D HsGDY forms heterojunction with the perovskite layer with well‐matched energy bands to allow effective charge injection in the heterojunction at zero‐voltage bias. The unique sp‐sp 2 hybridization and alkyne bonds in the HsGDY thin film provide abundant charge‐carrier interactive sites that enable efficient neuromorphic information processing. The device is utilized for environmentally adaptive vision and experience learning. Excitatory post‐synaptic current (EPSC) gain and paired‐pulse facilitation (PPF) index of the device stored in ambient air for 7 weeks retained 95% and 98% of the initial values. A device array is fabricated, applicable to perceive and process dynamic visual information. These results provide a device basis for future intelligent neuromorphic vision hardware.

Advanced Functional MaterialsVol. 35(38)
Chinese Academy of Sciences (CN), Nankai University (CN), City University of Hong Kong, Shenzhen Research Institute (CN), Beijing National Laboratory for Molecular Sciences (CN), Institute of Chemistry (CN), University of Chinese Academy of Sciences (CN)
Nankai University, Natural Science Foundation of Tianjin City, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 5%
Advanced Memory and Neural Computing
5.11
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