{"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}
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.
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.