Frontiers in Nanotechnology (Jan 2022)

Flexible and Stretchable Memristive Arrays for in-Memory Computing

  • Xusheng Liu,
  • Xusheng Liu,
  • Jie Cao,
  • Jie Cao,
  • Jie Qiu,
  • Xumeng Zhang,
  • Xumeng Zhang,
  • Xumeng Zhang,
  • Ming Wang,
  • Ming Wang,
  • Qi Liu,
  • Qi Liu,
  • Qi Liu

DOI
https://doi.org/10.3389/fnano.2021.821687
Journal volume & issue
Vol. 3

Abstract

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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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