记忆电阻器
材料科学
织物
导电体
纳米技术
神经形态工程学
数码产品
制作
过程(计算)
电阻随机存取存储器
电压
计算机科学
光电子学
电气工程
人工智能
复合材料
工程类
人工神经网络
病理
操作系统
医学
替代医学
作者
Yue Liu,Xufeng Zhou,Hui Yan,Xiang Shi,Ke Chen,Jinyang Zhou,Jialin Meng,Tianyu Wang,Yulu Ai,Jingxia Wu,Jiaxin Chen,Kaiwen Zeng,Lin Chen,Yahui Peng,Xuemei Sun,Peining Chen,Huisheng Peng
标识
DOI:10.1002/adma.202301321
摘要
Information-processing devices are the core components of modern electronics. Integrating them into textiles is the indispensable demand for electronic textiles to form close-loop functional systems. Memristors with crossbar configuration are regarded as promising building blocks to design woven information-processing devices that seamlessly unify with textiles. However, the memristors always suffer from severe temporal and spatial variations due to the random growth of conductive filaments during filamentary switching processes. Here, inspired by the ion nanochannels across synaptic membranes, a highly reliable textile-type memristor made of Pt/CuZnS memristive fiber with aligned nanochannels, showing small set voltage variation (<5.6%) under ultralow set voltage (≈0.089 V), high on/off ratio (≈106 ), and low power consumption (0.1 nW), is reported. Experimental evidence indicate that nanochannels with abundant active S defects can anchor silver ions and confine their migrations to form orderly and efficient conductive filaments. Such memristive performances enable the resultant textile-type memristor array to have high device-to-device uniformity and process complex physiological data like brainwave signals with high recognition accuracy (95%). The textile-type memristor arrays are mechanically durable to withstand hundreds of bending and sliding deformations, and seamlessly unified with sensing, power-supplying, and displaying textiles/fibers to form all-textile integrated electronic systems for new generation human-machine interactions.
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