A Multimodal Perception‐Enabled Flexible Memristor with Combined Sensing‐Storage‐Memory Functions for Enhanced Artificial Injury Recognition

Author:

Yang Chuan1,Wang Hongyan1,Zhou Guangdong2,Zhao Hongbin3,Hou Wentao45,Zhu Shouhui1,Zhao Yong1,Sun Bai67ORCID

Affiliation:

1. School of Physical Science and Technology Key Laboratory of Advanced Technology of Materials Southwest Jiaotong University Chengdu Sichuan 610031 China

2. College of Artificial Intelligence Brain‐Inspired Computing & Intelligent Control of Chongqing Key Lab Southwest University Chongqing 400715 China

3. State Key Laboratory of Advanced Materials for Smart Sensing General Research Institute for Nonferrous Metals Beijing 100088 China

4. College of Mechanical Engineering Zhejiang University of Technology Hangzhou 310023 China

5. Key Laboratory of Special Purpose Equipment and Advanced Processing Technology Ministry of Education and Zhejiang Province Zhejiang University of Technology Hangzhou 310014 China

6. Frontier Institute of Science and Technology (FIST) Xi'an Jiaotong University Xi'an Shaanxi 710049 China

7. Micro‐and Nano‐Technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an Shaanxi 710049 China

Abstract

AbstractWith the continuous advancement of wearable technology and advanced medical monitoring, there is an increasing demand for electronic devices that can adapt to complex environments and have high perceptual sensitivity. Here, a novel artificial injury perception device based on an Ag/HfOx/ITO/PET flexible memristor is designed to address the limitations of current technologies in multimodal perception and environmental adaptability. The memristor exhibits excellent resistive switching (RS) performance and mechanical flexibility under different bending angles (BAs), temperatures, humid environment, and repetitive folding conditions. Further, the device demonstrates the multimodal perception and conversion capabilities toward voltage, mechanical, and thermal stimuli through current response tests under different conditions, enabling not only the simulation of artificial injury perception but also holds promise for monitoring and controlling the movement of robotic arms. Moreover, the logical operation capability of the memristor‐based reconfigurable logic (MRL) gates is also demonstrated, proving the device has great potential applications with sensing, storage, and memory functions. Overall, this study not only provides a direction for the development of the next‐generation flexible multimodal sensors, but also has significant implications for technological advancements in many fields such as robotic arms, electronic skin (e‐skin), and medical monitoring.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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