多场景智能纺织品信息存储与处理的记忆纤维。

IF 12.1 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Small Pub Date : 2025-07-01 DOI:10.1002/smll.202505191
Shenglong Huang,Zizhao Ding,YiLun Cheng,Zixiang Zhao,Dou Zhang,Chao Jiang
{"title":"多场景智能纺织品信息存储与处理的记忆纤维。","authors":"Shenglong Huang,Zizhao Ding,YiLun Cheng,Zixiang Zhao,Dou Zhang,Chao Jiang","doi":"10.1002/smll.202505191","DOIUrl":null,"url":null,"abstract":"Memristive fibers combine information storage and computing in textile-compatible crossbar arrays, enabling intelligent textiles to process signals from integrated electronics. A simple, cost-effective coating method for complex fiber surfaces with insufficient conductivity or difficult to withstand high pressure plays a key role in textile memristor tech. Here, a high-performance and reliable textile memristor fabricated from robust copper-tin oxide coated carbon fibers (CuSnO@Cf) memristive fibers through a process involving two-stage selective electroless plating and subsequent thermal oxidation is reported. The surface coating of the memristive fiber includes a self-lopaded active electrode containing metal/intermetallic compounds (metal/IMCs), and a memristive functional layer (bimetallic amorphous oxide), which makes it exhibit a low set voltage (≈0.342 V), long retention time (>104 s) for multilevel storage (5 stages), high ON/OFF ratio (up to 6.58 × 105), low energy consumption (34.5 pW), multi conductivity state (24), excellent synaptic plasticity, outstanding stability and durability. Besides, the textile memristor exhibits good repeatability and multi-level storage capability between devices, and can clearly recognize letters (H, V, O) through offline training and weight mapping. Highly compatible with intelligent textiles, the technology enables real-time diagnostics with accurate physiological data analysis. These advanced information processing capabilities will significantly advance intelligent textiles systems.","PeriodicalId":228,"journal":{"name":"Small","volume":"17 26 1","pages":"e2505191"},"PeriodicalIF":12.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi-Scenarios.\",\"authors\":\"Shenglong Huang,Zizhao Ding,YiLun Cheng,Zixiang Zhao,Dou Zhang,Chao Jiang\",\"doi\":\"10.1002/smll.202505191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memristive fibers combine information storage and computing in textile-compatible crossbar arrays, enabling intelligent textiles to process signals from integrated electronics. A simple, cost-effective coating method for complex fiber surfaces with insufficient conductivity or difficult to withstand high pressure plays a key role in textile memristor tech. Here, a high-performance and reliable textile memristor fabricated from robust copper-tin oxide coated carbon fibers (CuSnO@Cf) memristive fibers through a process involving two-stage selective electroless plating and subsequent thermal oxidation is reported. The surface coating of the memristive fiber includes a self-lopaded active electrode containing metal/intermetallic compounds (metal/IMCs), and a memristive functional layer (bimetallic amorphous oxide), which makes it exhibit a low set voltage (≈0.342 V), long retention time (>104 s) for multilevel storage (5 stages), high ON/OFF ratio (up to 6.58 × 105), low energy consumption (34.5 pW), multi conductivity state (24), excellent synaptic plasticity, outstanding stability and durability. Besides, the textile memristor exhibits good repeatability and multi-level storage capability between devices, and can clearly recognize letters (H, V, O) through offline training and weight mapping. Highly compatible with intelligent textiles, the technology enables real-time diagnostics with accurate physiological data analysis. These advanced information processing capabilities will significantly advance intelligent textiles systems.\",\"PeriodicalId\":228,\"journal\":{\"name\":\"Small\",\"volume\":\"17 26 1\",\"pages\":\"e2505191\"},\"PeriodicalIF\":12.1000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Small\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/smll.202505191\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smll.202505191","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

忆阻光纤将信息存储和计算结合在纺织品兼容的横杆阵列中,使智能纺织品能够处理来自集成电子设备的信号。对于电导率不足或难以承受高压的复杂纤维表面,一种简单、经济有效的涂层方法在纺织忆阻器技术中起着关键作用。本文报道了一种高性能、可靠的纺织忆阻器,它是由坚固的铜锡氧化涂层碳纤维(CuSnO@Cf)忆阻纤维通过两阶段选择性化学镀和随后的热氧化工艺制成的。该忆阻光纤的表面涂层包括含有金属/金属间化合物(metal/IMCs)的自负载活性电极和忆阻功能层(双金属非晶氧化物),使其具有低设定电压(≈0.342 V)、长保持时间(>104 s)、高开/关比(高达6.58 × 105)、低能耗(34.5 pW)、多电导状态(24)、优异的突触可塑性、优异的稳定性和耐久性。此外,纺织忆阻器具有良好的可重复性和器件间多级存储能力,并能通过离线训练和权值映射清晰地识别字母(H, V, O)。该技术与智能纺织品高度兼容,可以通过准确的生理数据分析进行实时诊断。这些先进的信息处理能力将大大促进智能纺织品系统的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi-Scenarios.
Memristive fibers combine information storage and computing in textile-compatible crossbar arrays, enabling intelligent textiles to process signals from integrated electronics. A simple, cost-effective coating method for complex fiber surfaces with insufficient conductivity or difficult to withstand high pressure plays a key role in textile memristor tech. Here, a high-performance and reliable textile memristor fabricated from robust copper-tin oxide coated carbon fibers (CuSnO@Cf) memristive fibers through a process involving two-stage selective electroless plating and subsequent thermal oxidation is reported. The surface coating of the memristive fiber includes a self-lopaded active electrode containing metal/intermetallic compounds (metal/IMCs), and a memristive functional layer (bimetallic amorphous oxide), which makes it exhibit a low set voltage (≈0.342 V), long retention time (>104 s) for multilevel storage (5 stages), high ON/OFF ratio (up to 6.58 × 105), low energy consumption (34.5 pW), multi conductivity state (24), excellent synaptic plasticity, outstanding stability and durability. Besides, the textile memristor exhibits good repeatability and multi-level storage capability between devices, and can clearly recognize letters (H, V, O) through offline training and weight mapping. Highly compatible with intelligent textiles, the technology enables real-time diagnostics with accurate physiological data analysis. These advanced information processing capabilities will significantly advance intelligent textiles systems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
×
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