Dual-Mode ZnO/SnSe Heterojunction Devices with Integrated Bipolar Response Photodetectors and Artificial Optoelectronic Synapses for in-Sensor Computing.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2025-01-21 DOI:10.1002/smtd.202402151
Fuhai Guo, Weizhuo Yu, Mingcong Zhang, Bo Zhang, Bing Hu, Shuangshuang Li, Jianyu Jiang, Ankai Sun, Yunjie Liu, Lanzhong Hao
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引用次数: 0

Abstract

Optoelectronic synapse devices (OESDs) inspired by human visual systems enable to integration of light sensing, memory, and computing functions, greatly promoting the development of in-sensor computing techniques. Herein, dual-mode integration of bipolar response photodetectors (PDs) and artificial optoelectronic synapses based on ZnO/SnSe heterojunctions are presented. The function of the fabricated device can be converted between the PDs and OESDs by modulating the light intensity. As a PD, the polarity of the output current can be switched by tuning the laser wavelength and intensity, which is attributed to the competition between the photovoltaic and photothermoelectric effects in the ZnO/SnSe heterojunction. As an OESD, the device exhibits versatile photonic synaptic characteristics at low light intensity based on the defect-dominant carrier trapping/de-trapping processes, including short/long-term plasticity and learning experience behaviors. More importantly, benefitting from the outstanding synaptic responses, logic functions including "AND" and "OR" are implemented through the in-sensor computing architecture. This work supplies a novel route to realize complex functionality in one device and offers effective strategies for developing in-sensor computing.

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集成双极响应光电探测器和人工光电突触的ZnO/SnSe双模异质结器件用于传感器内计算。
光电突触器件(OESDs)受人类视觉系统的启发,实现了光感知、记忆和计算功能的集成,极大地促进了传感器内计算技术的发展。本文提出了基于ZnO/SnSe异质结的双极响应光电探测器(pd)和人工光电突触的双模集成。通过对光强的调制,器件的功能可以在光致发光器件和光电致发光器件之间转换。作为PD,输出电流的极性可以通过调节激光波长和强度来切换,这是由于ZnO/SnSe异质结中光伏效应和光热电效应之间的竞争。作为OESD,该器件基于缺陷主导的载流子捕获/去捕获过程,包括短期/长期可塑性和学习经验行为,在低光强下表现出多种光子突触特性。更重要的是,得益于出色的突触反应,包括“与”和“或”在内的逻辑功能通过传感器内计算架构实现。这项工作提供了在一个设备中实现复杂功能的新途径,并为发展传感器内计算提供了有效的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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