Journal
FRONTIERS IN NANOTECHNOLOGY
Volume 3, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fnano.2021.821687
Keywords
memristor; in-memory computing; flexible and stretchable electronics; flexible memristive array; stretchable memristive array
Funding
- National Natural Science Foundation of China [62104042]
- Fudan University [JIH2321005]
Ask authors/readers for more resources
With the advancement of IoT and AI technologies, there is a growing demand for flexible and stretchable electronic systems. Memristive devices with flexibility, stretchability, and in-memory processing ability show promise for data computing in such systems. This review focuses on recent progress in flexible and stretchable memristive arrays for in-memory computing, highlighting the materials used and strategies employed. The challenges and future prospects of this field are also discussed. Overall, this research aims to accelerate the development of flexible and stretchable memristive arrays for various intelligent systems.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available