journal article·2018-09-25

Multilayer Graphene Epidermal Electronic Skin

Yancong Qiao, Yunfan Wang, He Tian, Mingrui Li, Jinming Jian, Yuhong Wei, Ye Tian, Dan-Yang Wang, Yu Pang, Xiangshun Geng, Xuefeng Wang, Yunfei Zhao, Huimin Wang, Ningqin Deng, Muqiang Jian, Yingying Zhang, Renrong Liang, Yi Yang, Tian-Ling Ren

ACS Nano· Volume 12· Issue 9
Publisher page

Abstract

Due to its excellent flexibility, graphene has an important application prospect in epidermal electronic sensors. However, there are drawbacks in current devices, such as sensitivity, range, lamination, and artistry. In this work, we have demonstrated a multilayer graphene epidermal electronic skin based on laser scribing graphene, whose patterns are programmable. A process has been developed to remove the unreduced graphene oxide. This method makes the epidermal electronic skin not only transferable to butterflies, human bodies, and any other objects inseparably and elegantly, merely with the assistance of water, but also have better sensitivity and stability. Therefore, pattern electronic skin could attach to every object like artwork. When packed in Ecoflex, electronic skin exhibits excellent performance, including ultrahigh sensitivity (gauge factor up to 673), large strain range (as high as 10%), and long-term stability. Therefore, many subtle physiological signals can be detected based on epidermal electronic skin with a single graphene line. Electronic skin with multiple graphene lines is employed to detect large-range human motion. To provide a deeper understanding of the resistance variation mechanism, a physical model is established to explain the relationship between the crack directions and electrical characteristics. These results show that graphene epidermal electronic skin has huge potential in health care and intelligent systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Microelectronics, Tsinghua University, Beijing 100084, China

Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China

Institute of Physics, Tsinghua University, Beijing 100084, China

Department of Chemistry and Center for Nano and Micro Mechanics (CNMM), Tsinghua University, Beijing 100084, China

Funding

Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Beijing Municipality · Ministry of Agriculture of the People's Republic of China · Tsinghua University · National Natural Science Foundation of China · Shenzhen Science, Technology and Innovation Commission · Beijing Innovation Center for Future Chip

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