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Direct laser writing of graphene oxide for ultra-low power consumption memristors in reservoir computing for digital recognition 被引量:3

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摘要 A memristor is a promising candidate of new electronic synaptic devices for neuromorphic computing.However,conventional memristors often exhibit complex device structures,cumbersome manufacturing processes,and high energy consumption.Graphene-based materials show great potential as the building materials of memristors.With direct laser writing technology,this paper proposes a lateral memristor with reduced graphene oxide(rGO)and Pt as electrodes and graphene oxide(GO)as function material.This Pt/GO/rGO memristor with a facile lateral structure can be easily fabricated and demonstrates an ultra-low energy consumption of 200 nW.Typical synaptic behaviors are successfully emulated.Meanwhile,the Pt/GO/rGO memristor array is applied in the reservoir computing network,performing the digital recognition with a high accuracy of 95.74%.This work provides a simple and low-cost preparation method for the massive production of artificial synapses with low energy consumption,which will greatly facilitate the development of neural network computing hardware platforms.
出处 《National Science Open》 2022年第3期46-58,共13页 国家科学进展(英文)
基金 supported by the Science and Technology Commission of Shanghai Municipality(21DZ1100500) the Shanghai Municipal Science and Technology Major Project,the Shanghai Frontiers Science Center Program(2021-2025 No.20) the Zhangjiang National Innovation Demonstration Zone(ZJ2019-ZD-005) the National Key Research and Development Program of China(2021YFB2802000) the National Natural Science Foundation of China(61975123 and 62105206) China Postdoctoral Science Foundation(2021M692137)。
作者简介 Corresponding author:Qiming Zhang,email:qimingzhang@usst.edu.cn;Corresponding author:Min Gu,email:gumin@usst.edu.cn。
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