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具有自供电功能的光电忆阻器用于动态信息识别
Photoelectric Memristor With Self-Powered for Dynamic Information Recognition
| 作者 | Dong-Liang Li · Zhi-Long Chen · Xin-Gui Tang · Qi-Jun Sun · Dan Zhang · Zhen-Hua Tang |
| 期刊 | IEEE Transactions on Electron Devices |
| 出版日期 | 2025年5月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 SiC器件 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 | 仿生视觉系统 光电突触器件 异质结光电忆阻器 突触行为 数据处理与存储 |
语言:
中文摘要
仿生视觉系统可实现对外界信息的光感知与图像处理。光电突触器件是该系统的基本单元。本文提出一种基于HfO2/Bi4Ti3O12(BIT)异质结的具突触行为的光电忆阻器,通过异质结中光生载流子的捕获与释放产生持续光电流(PPC)。在光脉冲刺激下可模拟多种突触行为,如双脉冲易化、脉冲数依赖可塑性及脉冲宽度依赖可塑性,并实现短时记忆(STM)向长时记忆(LTM)的转变。构建3×5阵列,利用器件时间动态特性区分动态输入。由光电突触器件构建的物理储层不仅提升数据处理速度,还实现高效数据存储,为图像、语音识别及自然语言处理等人工智能领域提供新可能。
English Abstract
The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A 3 5 array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing.
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SunView 深度解读
该光电忆阻器技术对阳光电源储能系统的智能化升级具有前瞻性启发价值。其基于HfO2/BIT异质结的突触行为特性,可应用于ST系列储能变流器的智能故障诊断模块,通过模拟生物视觉系统实现光伏阵列热斑、组件异常的实时图像识别。持续光电流特性与短时/长时记忆转换机制,可优化iSolarCloud云平台的预测性维护算法,提升电站运维效率。3×5阵列的动态信息识别能力,为PowerTitan储能系统的多传感器融合诊断提供新思路。虽属基础研究,但其低功耗自供电特性与神经形态计算架构,对未来储能BMS的边缘智能计算、SG逆变器的视觉巡检功能具有技术储备意义,契合阳光电源智能化、数字化战略方向。