Stretchable and Wearable Resistive Switching Random‐Access Memory

Abstract

In the era of big data, with the development and application of 5G technology, artificial intelligence technology, and wearable electronics, the acquisition, storage, search, sharing, analysis, and even visual presentation require huge amounts of data in storage and processing at any time. This propounds a strong demand for the stretchable and wearable memory devices with ultrafast switching, high density, and high energy efficiency. Herein, an overview of the advanced progresses made on developing stretchable resistive switching random‐access memory (RRAM) is presented, concentrating on the fundamental components, materials selection principles, and configuration design strategies. The basic electrical and mechanical properties of stretchable components to meet the functionality of memory storage are summarized. Novel materials with the intrinsically stretchable features toward the realization of stretchable RRAM are discussed. Ingenious configuration design strategies to obtain stretchable RRAM are evaluated. Finally, the challenges and perspectives for the practical applications of stretchable RRAM are also addressed. Some helpful guidelines are provided in promoting the development on stretchable and wearable RRAM for making deployable and portable artificial intelligence and smart devices.

Flexible Artificial Sensory Systems Based on Neuromorphic Devices

“…It is necessary to develop multifunctional synaptic devices with the help of various properties of flexible materials. For example, materials with intrinsically stretchable features have inspired initial ideas for stretchable synaptic device fabrication, , which is attractive in neuromorphic systems for the use in artificial intelligence …”

“…For example, materials with intrinsically stretchable features have inspired initial ideas for stretchable synaptic device fabrication, 119,222 which is attractive in neuromorphic systems for the use in artificial intelligence. 223 At the system level, basic functions such as tactile, visual, and auditory detection have been realized in artificial neuromorphic systems, while research on the realization of multiple perception functions in one system is relatively limited. An artificial system that could achieve multiple functions in one system is of great importance for the future development of bionic perception systems with a low power consumption.…”

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