神经形态工程学
可伸缩电子设备
记忆电阻器
灵活性(工程)
计算机科学
数码产品
可穿戴计算机
可穿戴技术
软机器人
计算机体系结构
电子皮肤
嵌入式系统
纳米技术
人工智能
材料科学
电气工程
工程类
机器人
人工神经网络
统计
数学
作者
Xusheng Liu,Jie Cao,Jie Qian,Xumeng Zhang,Ming Wang,Qi Liu
标识
DOI:10.3389/fnano.2021.821687
摘要
With the tremendous progress of Internet of Things (IoT) and artificial intelligence (AI) technologies, the demand for flexible and stretchable electronic systems is rapidly increasing. As the vital component of a system, existing computing units are usually rigid and brittle, which are incompatible with flexible and stretchable electronics. Emerging memristive devices with flexibility and stretchability as well as direct processing-in-memory ability are promising candidates to perform data computing in flexible and stretchable electronics. To execute the in-memory computing paradigm including digital and analogue computing, the array configuration of memristive devices is usually required. Herein, the recent progress on flexible and stretchable memristive arrays for in-memory computing is reviewed. The common materials used for flexible memristive arrays, including inorganic, organic and two-dimensional (2D) materials, will be highlighted, and effective strategies used for stretchable memristive arrays, including material innovation and structural design, will be discussed in detail. The current challenges and future perspectives of the in-memory computing utilizing flexible and stretchable memristive arrays are presented. These efforts aim to accelerate the development of flexible and stretchable memristive arrays for data computing in advanced intelligent systems, such as electronic skin, soft robotics, and wearable devices.
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