基于中空多壳结构的仿生全光调制人工视觉突触

IF 19 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Fengmei Su, Jiawei Wan, Dan Wang
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引用次数: 0

摘要

实现记忆保持和智能感知功能是实现神经形态感知突触设备的首要目标和巨大挑战。受人类视觉系统的启发,本文设计了一种卟啉修饰氧化锌空心多壳结构(卟啉/氧化锌多壳结构)的两端人工视觉突触,该结构具有光诱导可塑性,可实现全光谱识别。同时,该人工突触装置还能实现 "学习-体验 "行为,这依赖于氧化锌中氧空位的光载流子捕获特性以及 HoMS 内的多种载流子释放路径。通过学习过程,载流子可被暂时捕获并富集在富含氧空位的外壳上,从而实现光识别的记忆保持。其长期保留时间超过 10 000 秒,明显超过了现有的大多数光子突触器件,证明了这些器件具有出色的记忆能力。此外,该突触阵列还成功地模拟了视觉系统的动态响应以及对颜色和形状的实时检测。HoMS平台提供了一种新颖、高效的方法,可在人工互动设备中模拟类似神经的功能,即对外部信号做出快速反应并保持记忆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bioinspired Fully Optical Modulated Artificial Visual Synapse with Outstanding Memory Retention Based on Hollow Multishelled Structure

Bioinspired Fully Optical Modulated Artificial Visual Synapse with Outstanding Memory Retention Based on Hollow Multishelled Structure
Achieving memory retention and intelligent perceptual function stand as the paramount objectives and great challenges in achieving neuromorphic perceptual synaptic devices. Inspired by the human visual system, herein, the two-terminal artificial visual synapse is designed with a porphyrin-modified ZnO hollow multishelled structure (porphyrin/ZnO HoMS) demonstrating light-induced plasticity for full spectrum recognition. Meanwhile, the artificial synaptic device enables the realization of “learning-experience” behavior, which relies on the photocarrier trapping characteristics of oxygen vacancies in ZnO and the multiple carrier release paths within HoMS. By the learning process, carriers can be temporarily trapped and enriched on shells rich with oxygen vacancies to achieve memory retention of light recognition. The long-term retention time exceeds 10 000 s, which markedly surpasses most existing photonic synaptic devices, demonstrating the excellent memory capability of these devices. Moreover, the synaptic array successfully simulates the visual system to dynamic response and real-time detection of color and shape. The HoMS platform offers a novel and efficient approach to emulate the neural-like functions of the rapid response and memory retention to external signals in artificial interactive devices.
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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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