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储能系统技术 储能系统 GaN器件 ★ 5.0

基于电聚合多巴胺的忆阻器利用阈值开关行为实现人工电流激活型脉冲神经元

Electropolymerized dopamine-based memristors using threshold switching behaviors for artificial current-activated spiking neurons

作者 Bowen ZhongXiaokun QinZhexin LiYiqiang ZhengLingchen LiuZheng LouLili Wang
期刊 半导体学报
出版日期 2025年1月
卷/期 第 46 卷 第 2 期
技术分类 储能系统技术
技术标签 储能系统 GaN器件
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Bowen Zhong Xiaokun Qin Zhexin Li Yiqiang Zheng Lingchen Liu Zheng Lou Lili Wang 半导体学报(英文版) Journal of Semiconductors
语言:

中文摘要

忆阻器具有类似突触的两端结构和电学特性,广泛用于人工突触的构建。然而,与无机材料相比,有机材料因忆阻性能较差而较少用于人工脉冲突触。本文首次报道了一种基于电聚合多巴胺忆阻层的有机忆阻器。该聚多巴胺忆阻器表现出优异的关键性能,包括0.3 V的低阈值电压、16 nm的薄层厚度以及约1 μF∙mm⁻²的高寄生电容。利用这些特性及其稳定的阈值开关行为,构建了一种无需电容元件且功耗低的人工脉冲神经元,可输出振荡电压,其脉冲频率随输入电流增加而升高,类似于生物神经元。实验结果表明,该器件在神经形态计算与系统中具有应用潜力。

English Abstract

Memristors have a synapse-like two-terminal structure and electrical properties,which are widely used in the construc-tion of artificial synapses.However,compared to inorganic materials,organic materials are rarely used for artificial spiking synapses due to their relatively poor memrisitve performance.Here,for the first time,we present an organic memristor based on an electropolymerized dopamine-based memristive layer.This polydopamine-based memristor demonstrates the improve-ments in key performance,including a low threshold voltage of 0.3 V,a thin thickness of 16 nm,and a high parasitic capaci-tance of about 1 μF∙mm-2.By leveraging these properties in combination with its stable threshold switching behavior,we con-struct a capacitor-free and low-power artificial spiking neuron capable of outputting the oscillation voltage,whose spiking fre-quency increases with the increase of current stimulation analogous to a biological neuron.The experimental results indicate that our artificial spiking neuron holds potential for applications in neuromorphic computing and systems.
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SunView 深度解读

该有机忆阻器的阈值开关特性与低功耗脉冲神经元技术,对阳光电源智能控制系统具有前瞻性启发价值。其0.3V低阈值电压和高寄生电容特性可借鉴应用于ST系列储能变流器的快速响应控制单元,实现更低功耗的状态检测与决策。神经形态计算的电流激活脉冲机制可启发iSolarCloud平台的边缘智能诊断算法优化,通过类脑计算降低数据传输与云端处理负荷。虽然当前有机忆阻器可靠性尚不足以直接应用于功率电子主回路,但其仿生控制思路可为PowerTitan储能系统的多层级协调控制、GFM构网型逆变器的自适应参数调节提供新型算法架构参考,推动智能化水平提升。