基于摩擦电纳米发电机的新兴人工突触装置

IF 13.2 1区 工程技术 Q1 ENGINEERING, CHEMICAL
Yixuan Fu , Lijuan Liang , Yifei Wang , Ziwei Huo , Nianjie Zhang , Chao Hu , Qijun Sun
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引用次数: 0

摘要

随着物联网(IoT)和机器学习算法的日益普及和完善,各个领域正在迅速走向智能和高效的新时代。摩擦电纳米发电机(TENG)作为一种前沿的能量收集和转换技术,不仅为能量转换和信息处理领域带来了新的视角,也为自供电智能系统的发展开辟了新的途径。将人工突触装置与TENG相结合,模拟突触可塑性,利用从周围采集的电能实现信息处理的同步,实现对机械能的实时、智能监控和管理。本文系统地介绍了人工突触装置的基本概念和特点,总结了近年来各种teng调制人工突触的研究成果。此外,文章还概述了人工突触在触觉感知、人体运动检测、听觉感知和多模态集成等方面的应用。最后,文章总结了基于teng的神经形态装置目前面临的挑战和未来的展望。teng调控的人工突触装置在交互神经形态装置、生理/环境/化学/生物检测、低功耗神经形态计算等方面具有重要意义,在人工智能的未来发展中发挥着越来越重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging artificial synaptic devices based on triboelectric nanogenerators
With the increasing popularity and refinement of the Internet of Things (IoT) and machine learning algorithms, various fields are rapidly moving towards a new era of intelligence and efficiency. Triboelectric nanogenerator (TENG), as a cutting-edge energy harvesting and conversion technology, not only brings a fresh perspective to the field of energy conversion and information processing, but also opens up a new path for the development of self-powered intelligent systems. The integration of artificial synaptic devices with TENG to simulate synaptic plasticity realizes the synchronization of information processing using the harvested electricity from surroundings, achieving real-time, intelligent monitoring and management of mechanical energy. This review systematically describes the basic concepts and characteristics of artificial synaptic devices, summarizing recent achievements on various TENG-modulated artificial synaptic. In addition, the article outlines the applications of TENG-modulated artificial synapses such as tactile sensing, human motion detection, auditory sensing, and multimodal integration. Finally, the article summarizes the current challenges and future perspectives on TENG-based neuromorphic devices. TENG-regulated artificial synaptic devices show great significance in interactive neuromorphic devices, physiological/environmental/chemical/biological detection, and low-power neuromorphic computation, playing an increasingly important role in the future development of artificial intelligence.
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来源期刊
Chemical Engineering Journal
Chemical Engineering Journal 工程技术-工程:化工
CiteScore
21.70
自引率
9.30%
发文量
6781
审稿时长
2.4 months
期刊介绍: The Chemical Engineering Journal is an international research journal that invites contributions of original and novel fundamental research. It aims to provide an international platform for presenting original fundamental research, interpretative reviews, and discussions on new developments in chemical engineering. The journal welcomes papers that describe novel theory and its practical application, as well as those that demonstrate the transfer of techniques from other disciplines. It also welcomes reports on carefully conducted experimental work that is soundly interpreted. The main focus of the journal is on original and rigorous research results that have broad significance. The Catalysis section within the Chemical Engineering Journal focuses specifically on Experimental and Theoretical studies in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. These studies have industrial impact on various sectors such as chemicals, energy, materials, foods, healthcare, and environmental protection.
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