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Ionic Skin with Biomimetic Dielectric Layer Templated from Calathea Zebrine Leaf
Author(s) -
Qiu Zhiguang,
Wan Yongbiao,
Zhou Wohua,
Yang Jingyi,
Yang Junlong,
Huang Jun,
Zhang Jianming,
Liu Qingxian,
Huang Siya,
Bai Ningning,
Wu Zhigang,
Hong Wei,
Wang Hong,
Guo Chuan Fei
Publication year - 2018
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.201802343
Subject(s) - materials science , dielectric , nanotechnology , capacitive sensing , microfabrication , photolithography , ionic bonding , layer (electronics) , optoelectronics , ion , fabrication , computer science , medicine , alternative medicine , physics , pathology , quantum mechanics , operating system
Flexible electronic skins (e‐skins) with high sensitivity and broad‐range pressure sensing are highly desired in artificial intelligence, and human–machine interaction. Capacitive‐type e‐skins have a simple configuration, but the change in dimensions of the dielectric layer is often quite limited, although introducing surface microstructures might improve the sensitivity in some extent. Moreover, such surface structures typically require costly microfabrication methods to fabricate. Here, a low‐cost microstructured ionic gel (MIG) with uniform cone‐like surface microstructures for high‐performance capacitive e‐skins is reported. The MIG film is templated from a Calathea zebrine leaf using soft lithography, and sandwiched by two flexible electrodes. The device exhibits a low limit of detection down to 0.1 Pa, a ultrahigh sensitivity of 54.31 kPa −1 in the low pressure regime (<0.5 kPa), and the sensitivity keeps larger than 1 kPa −1 over a broad‐range pressure from 0.1 Pa to 115 kPa. Electric double layers (EDL) form on both the top and bottom interfaces, and the area of EDL of the rough interface increases as the cones are compressed. Such ionic skins with biomimetic gel templated Calathea zebrine leaf allow for sensitive tactile sensing in the applications of human–machine interaction.
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