记忆电阻器
材料科学
纳米纤维
纳米技术
接口(物质)
电铸
纳米电子学
神经形态工程学
光电子学
记忆晶体管
电压
计算机科学
电阻随机存取存储器
电子工程
电气工程
图层(电子)
工程类
人工智能
复合材料
人工神经网络
毛细管数
毛细管作用
作者
Yue Liu,Yuanhang Zhang,Xufeng Zhou,Zhuming Wang,Zhe Yang,Jialin Meng,Chen Wang,Xuemei Sun,Lin Chen,Peining Chen,Huisheng Peng
出处
期刊:Small
[Wiley]
日期:2025-02-16
卷期号:21 (12): e2409951-e2409951
标识
DOI:10.1002/smll.202409951
摘要
Abstract Memristors with high computing capabilities hold significant potential as processing devices in the era of information explosion, but their applications are largely hindered by the trade‐off between memristive performance and operation uniformity. Extensive efforts are devoted to designing or regulating memristive layers of memristors to improve device performance, while few studies focused on the interface structure at cross points of memristors. Herein, inspired by the tip effect, a nanofiber memristor with highly‐curved interwoven interface is designed by assembling nanofiber electrodes using dielectrophoretic method. The nanofiber memristor shows high operation uniformity with an ultralow set voltage standard deviation of 0.014 V, which is even superior to that of state‐of‐the‐art oxide‐based planar memristors. Experimental and simulation analysis reveals that the highly‐curved interface can efficiently concentrate electric field distribution and confine the switching region, thus facilitating the migration of silver ions and suppressing the formation of random conductive filaments. Nanofiber memristor arrays with good device reproducibility are further integrated for fundamental logic gate circuits like NOT, AND, and OR. This work offers a new insight for constructing high‐performing nanoelectronics.
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