Ion-modulation optoelectronic neuromorphic devices: mechanisms, characteristics, and applications

Abstract The traditional von Neumann architecture faces inherent limitations due to the separation of memory and computation, leading to high energy consumption, significant latency, and reduced operational efficiency. Neuromorphic computing, inspired by the architecture of the human brain, offers a promising alternative by integrating memory and computational functions, enabling parallel, high-speed, and energy-efficient information processing. Among various neuromorphic technologies, ion-modulated optoelectronic devices have garnered attention due to their excellent ionic tunability and the availability of multidimensional control strategies. This review provides a comprehensive overview of recent progress in ion-modulation optoelectronic neuromorphic devices. It elucidates the key mechanisms underlying ionic modulation of light fields, including ion migration dynamics and capture and release of charge through ions. Furthermore, the synthesis of active materials and the properties of these devices are analyzed in detail. The review also highlights the application of ion-modulation optoelectronic devices in artificial vision systems, neuromorphic computing, and other bionic fields. Finally, the existing challenges and future directions for the development of optoelectronic neuromorphic devices are discussed, providing critical insights for advancing this promising field.

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Publication Details

Journal
Journal of Semiconductors
Published
2025-02-01
DOI
https://doi.org/10.1088/1674-4926/24100025
Citations
8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.84
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article

Ion-modulation optoelectronic neuromorphic devices: mechanisms, characteristics, and applications

Runsheng Gao, Xiaojian Zhu, Run‐Wei Li, Xiaohan Meng
8 citations
Journal of Semiconductors
Advanced Memory and Neural Computing
5.84
article

Ion-modulation optoelectronic neuromorphic devices: mechanisms, characteristics, and applications

Runsheng Gao, Xiaojian Zhu, Run‐Wei Li, Xiaohan Meng
article en
8 citations

Abstract

Abstract The traditional von Neumann architecture faces inherent limitations due to the separation of memory and computation, leading to high energy consumption, significant latency, and reduced operational efficiency. Neuromorphic computing, inspired by the architecture of the human brain, offers a promising alternative by integrating memory and computational functions, enabling parallel, high-speed, and energy-efficient information processing. Among various neuromorphic technologies, ion-modulated optoelectronic devices have garnered attention due to their excellent ionic tunability and the availability of multidimensional control strategies. This review provides a comprehensive overview of recent progress in ion-modulation optoelectronic neuromorphic devices. It elucidates the key mechanisms underlying ionic modulation of light fields, including ion migration dynamics and capture and release of charge through ions. Furthermore, the synthesis of active materials and the properties of these devices are analyzed in detail. The review also highlights the application of ion-modulation optoelectronic devices in artificial vision systems, neuromorphic computing, and other bionic fields. Finally, the existing challenges and future directions for the development of optoelectronic neuromorphic devices are discussed, providing critical insights for advancing this promising field.

Journal of SemiconductorsVol. 46(2)
Chinese Academy of Sciences (CN), ShanghaiTech University (CN), Ningbo Institute of Industrial Technology (CN)
Openalex Percentile: Top 4%
Advanced Memory and Neural Computing
5.84
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