Triboelectric nanogenerator for neuromorphic electronics

Guanglong Ding; Su Ting Han; Vellaisamy A.L. Roy; Chi Ching Kuo; Ye Zhou

doi:10.1016/j.enrev.2023.100014

Triboelectric nanogenerator for neuromorphic electronics

Guanglong Ding, Su Ting Han, Vellaisamy A.L. Roy, Chi Ching Kuo, Ye Zhou

Research output: Contribution to journal › Review article › peer-review

14 Citations (Scopus)

Abstract

Building the brain-inspired neural network computing system based neuromorphic electronics is an effective approach to break the von Neumann bottleneck on the hardware level and realize the information processing with high efficiency and low energy consumption in this big data explosion age. Triboelectric nanogenerator (TENG) has two functions of sensing and energy conversion, which promote the application as sensor and/or power supply in self-powered neuromorphic electronics for data storage and biological synapse/neuron behaviors mimicking. This article highlights the relevant works of TENGs for memory devices, artificial synapses and artificial neurons, performs a systematic comparison, and puts forward the future research possibilities and challenges, with the hope of attracting more researchers into this field and promoting the development of TENG based neuromorphic electronics.

Original language	English
Article number	100014
Journal	Energy Reviews
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/j.enrev.2023.100014
Publication status	Published - Mar 2023
Externally published	Yes

Keywords

Artificial neuron
Artificial synapse
Memory
Neuromorphic electronic
Tactile perception system
Triboelectric nanogenerator

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.enrev.2023.100014

Cite this

@article{9a7bca2ac36e4321b0bda7d5224614e9,

title = "Triboelectric nanogenerator for neuromorphic electronics",

abstract = "Building the brain-inspired neural network computing system based neuromorphic electronics is an effective approach to break the von Neumann bottleneck on the hardware level and realize the information processing with high efficiency and low energy consumption in this big data explosion age. Triboelectric nanogenerator (TENG) has two functions of sensing and energy conversion, which promote the application as sensor and/or power supply in self-powered neuromorphic electronics for data storage and biological synapse/neuron behaviors mimicking. This article highlights the relevant works of TENGs for memory devices, artificial synapses and artificial neurons, performs a systematic comparison, and puts forward the future research possibilities and challenges, with the hope of attracting more researchers into this field and promoting the development of TENG based neuromorphic electronics.",

keywords = "Artificial neuron, Artificial synapse, Memory, Neuromorphic electronic, Tactile perception system, Triboelectric nanogenerator",

author = "Guanglong Ding and Han, {Su Ting} and Roy, {Vellaisamy A.L.} and Kuo, {Chi Ching} and Ye Zhou",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = mar,

doi = "10.1016/j.enrev.2023.100014",

language = "English",

volume = "2",

number = "1",

}

TY - JOUR

T1 - Triboelectric nanogenerator for neuromorphic electronics

AU - Ding, Guanglong

AU - Han, Su Ting

AU - Roy, Vellaisamy A.L.

AU - Kuo, Chi Ching

AU - Zhou, Ye

PY - 2023/3

Y1 - 2023/3

N2 - Building the brain-inspired neural network computing system based neuromorphic electronics is an effective approach to break the von Neumann bottleneck on the hardware level and realize the information processing with high efficiency and low energy consumption in this big data explosion age. Triboelectric nanogenerator (TENG) has two functions of sensing and energy conversion, which promote the application as sensor and/or power supply in self-powered neuromorphic electronics for data storage and biological synapse/neuron behaviors mimicking. This article highlights the relevant works of TENGs for memory devices, artificial synapses and artificial neurons, performs a systematic comparison, and puts forward the future research possibilities and challenges, with the hope of attracting more researchers into this field and promoting the development of TENG based neuromorphic electronics.

AB - Building the brain-inspired neural network computing system based neuromorphic electronics is an effective approach to break the von Neumann bottleneck on the hardware level and realize the information processing with high efficiency and low energy consumption in this big data explosion age. Triboelectric nanogenerator (TENG) has two functions of sensing and energy conversion, which promote the application as sensor and/or power supply in self-powered neuromorphic electronics for data storage and biological synapse/neuron behaviors mimicking. This article highlights the relevant works of TENGs for memory devices, artificial synapses and artificial neurons, performs a systematic comparison, and puts forward the future research possibilities and challenges, with the hope of attracting more researchers into this field and promoting the development of TENG based neuromorphic electronics.

KW - Artificial neuron

KW - Artificial synapse

KW - Memory

KW - Neuromorphic electronic

KW - Tactile perception system

KW - Triboelectric nanogenerator

UR - http://www.scopus.com/inward/record.url?scp=85179133890&partnerID=8YFLogxK

U2 - 10.1016/j.enrev.2023.100014

DO - 10.1016/j.enrev.2023.100014

M3 - Review article

AN - SCOPUS:85179133890

VL - 2

JO - Energy Reviews

JF - Energy Reviews

IS - 1

M1 - 100014

ER -

Triboelectric nanogenerator for neuromorphic electronics

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this