Artificial synapses based on P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristor for distance detection application

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Materials Today Nano Pub Date : 2024-06-08 DOI:10.1016/j.mtnano.2024.100490
Yanmei Sun , Dianzhong Wen , Qi Yuan , Yufei Wang
{"title":"Artificial synapses based on P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristor for distance detection application","authors":"Yanmei Sun ,&nbsp;Dianzhong Wen ,&nbsp;Qi Yuan ,&nbsp;Yufei Wang","doi":"10.1016/j.mtnano.2024.100490","DOIUrl":null,"url":null,"abstract":"<div><p>The utilization of heterogeneous architecture presents a promising approach to bolster the reliability of memristors and achieve high-density memory with synaptic properties. The preparation of P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristors was accomplished through the rotary coating method. The investigation was conducted on the electrical properties and synaptic behavior of the heterojunction memristors. The memristor exhibits the potential to emulate crucial synaptic behaviors, such as paired-pulse facilitation, long-term potentiation, long-term depression, excited postsynaptic current and inhibitory postsynaptic current, as well as learning behavior. This highlights its prospective applicability in neuromorphic devices. A distance sensing system is established utilizing the P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristor artificial synaptic device in conjunction with the Al/sodium alginate/ITO threshold memristor artificial neuron. The detection of distance is achieved through the transmission of signals from the synaptic device and triggering of thresholds in the threshold device. This system enables distance detection ranging from 0.5 cm to 14 cm. This research is crucial for advancing the development of biomimetic sensing systems and facilitating the utilization of memristors in the field of sensing.</p></div>","PeriodicalId":48517,"journal":{"name":"Materials Today Nano","volume":"27 ","pages":"Article 100490"},"PeriodicalIF":8.2000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Nano","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2588842024000403","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The utilization of heterogeneous architecture presents a promising approach to bolster the reliability of memristors and achieve high-density memory with synaptic properties. The preparation of P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristors was accomplished through the rotary coating method. The investigation was conducted on the electrical properties and synaptic behavior of the heterojunction memristors. The memristor exhibits the potential to emulate crucial synaptic behaviors, such as paired-pulse facilitation, long-term potentiation, long-term depression, excited postsynaptic current and inhibitory postsynaptic current, as well as learning behavior. This highlights its prospective applicability in neuromorphic devices. A distance sensing system is established utilizing the P(VDF-TrFE-CTFE)/sodium alginate heterojunction memristor artificial synaptic device in conjunction with the Al/sodium alginate/ITO threshold memristor artificial neuron. The detection of distance is achieved through the transmission of signals from the synaptic device and triggering of thresholds in the threshold device. This system enables distance detection ranging from 0.5 cm to 14 cm. This research is crucial for advancing the development of biomimetic sensing systems and facilitating the utilization of memristors in the field of sensing.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于 P(VDF-TrFE-CTFE)/海藻酸钠异质结记忆晶体管的人工突触用于距离检测应用
利用异质结构提高忆阻器的可靠性并实现具有突触特性的高密度存储器是一种很有前景的方法。本研究采用旋转涂覆法制备了 P(VDF-TrFE-CTFE)/海藻酸钠异质结记忆晶体。研究人员对异质结记忆器的电学特性和突触行为进行了调查。这种忆阻器具有模拟关键突触行为的潜力,如配对脉冲促进、长期延时、长期抑制、突触后兴奋电流和突触后抑制电流,以及学习行为。这突显了它在神经形态设备中的应用前景。利用 P(VDF-TrFE-CTFE)/海藻酸钠异质结忆苦思甜器人工突触装置和 Al/海藻酸钠/ITO阈值忆苦思甜器人工神经元,建立了一个距离传感系统。距离检测是通过突触装置的信号传输和阈值装置的阈值触发来实现的。该系统可实现 0.5 厘米至 14 厘米的距离检测。这项研究对于推动仿生物传感系统的发展和促进忆阻器在传感领域的应用至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
11.30
自引率
3.90%
发文量
130
审稿时长
31 days
期刊介绍: Materials Today Nano is a multidisciplinary journal dedicated to nanoscience and nanotechnology. The journal aims to showcase the latest advances in nanoscience and provide a platform for discussing new concepts and applications. With rigorous peer review, rapid decisions, and high visibility, Materials Today Nano offers authors the opportunity to publish comprehensive articles, short communications, and reviews on a wide range of topics in nanoscience. The editors welcome comprehensive articles, short communications and reviews on topics including but not limited to: Nanoscale synthesis and assembly Nanoscale characterization Nanoscale fabrication Nanoelectronics and molecular electronics Nanomedicine Nanomechanics Nanosensors Nanophotonics Nanocomposites
期刊最新文献
Boosting non-volatile memory performance with exhalative annealing: A novel approach to low-temperature crystallization of hafnia based ferroelectric Top-down fabrication of Si nanotube arrays using nanoimprint lithography and spacer patterning for electronic and optoelectronic applications Nanoscale mapping of local intrinsic strain-induced anomalous bandgap variations in WSe2 using selective-wavelength scanning photoconductivity microscopy Neutrophil-inspired Zn and Zn@ZnO microparticles decorated with Cu nanoparticles self-release oxidized halogen antimicrobials In-depth conduction mechanism analysis of programmable memristor and its biosynaptic applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1