Optoelectronic synapse based on 2D metal-organic framework Cu3(HHTP)2 for neuromorphic processing of both visual and auditory information

IF 9.4 1区 化学 Q1 CHEMISTRY, PHYSICAL
Lingling Zhang , Yafei Chen , Zhenyu Li , Chunli Jiang , Chunhua Luo , Hechun Lin , Hui Peng
{"title":"Optoelectronic synapse based on 2D metal-organic framework Cu3(HHTP)2 for neuromorphic processing of both visual and auditory information","authors":"Lingling Zhang ,&nbsp;Yafei Chen ,&nbsp;Zhenyu Li ,&nbsp;Chunli Jiang ,&nbsp;Chunhua Luo ,&nbsp;Hechun Lin ,&nbsp;Hui Peng","doi":"10.1016/j.jcis.2025.138439","DOIUrl":null,"url":null,"abstract":"<div><div>Two-dimensional conjugated Metal–organic frameworks (2D c-MOFs) hold immense potential in neuromorphic due to their high porosity, excellent specific surface area, highly tunable chemical properties, and excellent electrical conductivity. Herein, a two-terminal optoelectronic synapse based on the Cu<sub>3</sub>(HHTP)<sub>2</sub> film is fabricated using a layer-by-layer self-assembly method. The device demonstrates outstanding synaptic functionalities, including pair-pulse facilitation (PPF), spike-width-dependent plasticity (SWDP) and spike-rate-dependent plasticity (SRDP). Furthermore, the broad absorption of Cu<sub>3</sub>(HHTP)<sub>2</sub> film in the visible light ranges enables the device a broad spectral response, which is crucial for realizing the color distinction and associative memory. Eventually, simulations based on the neuromorphic speech recognition system reveal the device's ability to achieve the high spoken digit recognition accuracy, maintaining robust performance even under noisy environments. These results highlight the potential of Cu<sub>3</sub>(HHTP)<sub>2</sub>-based optoelectronic synapses as a promising platform for next-generation neural computing leveraging the unique properties of MOFs.</div></div>","PeriodicalId":351,"journal":{"name":"Journal of Colloid and Interface Science","volume":"700 ","pages":"Article 138439"},"PeriodicalIF":9.4000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Colloid and Interface Science","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021979725018302","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Two-dimensional conjugated Metal–organic frameworks (2D c-MOFs) hold immense potential in neuromorphic due to their high porosity, excellent specific surface area, highly tunable chemical properties, and excellent electrical conductivity. Herein, a two-terminal optoelectronic synapse based on the Cu3(HHTP)2 film is fabricated using a layer-by-layer self-assembly method. The device demonstrates outstanding synaptic functionalities, including pair-pulse facilitation (PPF), spike-width-dependent plasticity (SWDP) and spike-rate-dependent plasticity (SRDP). Furthermore, the broad absorption of Cu3(HHTP)2 film in the visible light ranges enables the device a broad spectral response, which is crucial for realizing the color distinction and associative memory. Eventually, simulations based on the neuromorphic speech recognition system reveal the device's ability to achieve the high spoken digit recognition accuracy, maintaining robust performance even under noisy environments. These results highlight the potential of Cu3(HHTP)2-based optoelectronic synapses as a promising platform for next-generation neural computing leveraging the unique properties of MOFs.

Abstract Image

基于二维金属有机框架Cu3(HHTP)2的光电突触对视觉和听觉信息进行神经形态处理
二维共轭金属有机框架(2D c-MOFs)由于其高孔隙率、优异的比表面积、高度可调的化学性质和优异的导电性,在神经形态学领域具有巨大的潜力。本文采用逐层自组装的方法制备了基于Cu3(HHTP)2薄膜的双端光电突触。该装置展示了出色的突触功能,包括对脉冲促进(PPF), spike-width-dependent plasticity (SWDP)和spike-rate-dependent plasticity (SRDP)。此外,Cu3(HHTP)2薄膜在可见光范围内的广泛吸收使器件具有广谱响应,这对于实现颜色区分和联想记忆至关重要。最后,基于神经形态语音识别系统的仿真表明,该设备能够实现较高的语音数字识别精度,即使在嘈杂环境下也能保持稳健的性能。这些结果突出了Cu3(HHTP)2-基光电突触作为下一代神经计算平台的潜力,利用mof的独特特性。
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 求助全文
来源期刊
CiteScore
16.10
自引率
7.10%
发文量
2568
审稿时长
2 months
期刊介绍: The Journal of Colloid and Interface Science publishes original research findings on the fundamental principles of colloid and interface science, as well as innovative applications in various fields. The criteria for publication include impact, quality, novelty, and originality. Emphasis: The journal emphasizes fundamental scientific innovation within the following categories: A.Colloidal Materials and Nanomaterials B.Soft Colloidal and Self-Assembly Systems C.Adsorption, Catalysis, and Electrochemistry D.Interfacial Processes, Capillarity, and Wetting E.Biomaterials and Nanomedicine F.Energy Conversion and Storage, and Environmental Technologies
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信