Interface‐Defect Synergy Engineering of Amorphous Ga <sub>2</sub> O <sub>3</sub> for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

ABSTRACT Integrating disparate optoelectronic functionalities—ranging from self‐powered photodetection to neuromorphic computing—within a unified, single‐material architecture is pivotal for the next generation of bias‐programmable intelligent vision systems. Here, we report a voltage‐tunable, monolithic platform based on amorphous Ga 2 O 3 (ITO/GaO x /Al) that achieves bias‐programmable dual‐mode operation, uniting self‐powered solar‐blind photodetection with low‐power optoelectronic synaptic functionalities. The dual‐modality originates from the synergistic coupling between asymmetric interfacial potential barriers and oxygen‐vacancy engineering, which is in situ induced by interfacial redox reactions at the GaO x /Al junction. Benefiting from this precise interface‐defect co‐engineering, the device exhibits exceptional self‐powered solar‐blind detection with high responsivity, a rapid response of ∼100 µs, and a detection limit down to 13 nW. Under a low bias, it emulates bio‐realistic synaptic dynamics—including paired‐pulse facilitation and learning–forgetting–relearning processes—with an ultralow energy footprint of 18 pJ. Reversible voltage modulation enables both single‐pixel and 10 × 10 array devices to bridge the gap between high‐contrast transient imaging and long‐term visual memory. Moreover, a neuromorphic visual system constructed from this platform performs robust “detection–storage–recognition” tasks even under external noise. This study establishes a transformative route for bias‐programmable optoelectronic integration, effectively uniting sensing and cognitive functions within a simplified, high‐performance single‐material system.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-07-23
DOI
https://doi.org/10.1002/adfm.77328
Primary Topic
Ga2O3 and related materials
Type
article
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article

Interface‐Defect Synergy Engineering of Amorphous Ga 2 O 3 for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

C. Liu, Wanjun Li, Zhenxiang Cheng, Xuanyu Shan et al.
Advanced Functional Materials
Ga2O3 and related materials
article

Interface‐Defect Synergy Engineering of Amorphous Ga 2 O 3 for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

C. Liu, Wanjun Li, Zhenxiang Cheng, Xuanyu Shan, Guoping Qin, Lijuan Ye, Honglin Li, Peng Yu, Zhongqiang Wang, Yan Tang, Di Pang, Aijiang Yan, Shuren Zhou, Hong Zhang
article en

Abstract

ABSTRACT Integrating disparate optoelectronic functionalities—ranging from self‐powered photodetection to neuromorphic computing—within a unified, single‐material architecture is pivotal for the next generation of bias‐programmable intelligent vision systems. Here, we report a voltage‐tunable, monolithic platform based on amorphous Ga 2 O 3 (ITO/GaO x /Al) that achieves bias‐programmable dual‐mode operation, uniting self‐powered solar‐blind photodetection with low‐power optoelectronic synaptic functionalities. The dual‐modality originates from the synergistic coupling between asymmetric interfacial potential barriers and oxygen‐vacancy engineering, which is in situ induced by interfacial redox reactions at the GaO x /Al junction. Benefiting from this precise interface‐defect co‐engineering, the device exhibits exceptional self‐powered solar‐blind detection with high responsivity, a rapid response of ∼100 µs, and a detection limit down to 13 nW. Under a low bias, it emulates bio‐realistic synaptic dynamics—including paired‐pulse facilitation and learning–forgetting–relearning processes—with an ultralow energy footprint of 18 pJ. Reversible voltage modulation enables both single‐pixel and 10 × 10 array devices to bridge the gap between high‐contrast transient imaging and long‐term visual memory. Moreover, a neuromorphic visual system constructed from this platform performs robust “detection–storage–recognition” tasks even under external noise. This study establishes a transformative route for bias‐programmable optoelectronic integration, effectively uniting sensing and cognitive functions within a simplified, high‐performance single‐material system.

Advanced Functional Materials
Chongqing Normal University (CN), University of Electronic Science and Technology of China (CN), Northeast Normal University (CN), University of Wollongong (AU), National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
Openalex Percentile: Top 22%
Ga2O3 and related materials
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