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author:

Cheng, Ya (Cheng, Ya.) [1] | Ning, Junjie (Ning, Junjie.) [2] | Wang, Ce (Wang, Ce.) [3] | Zhu, Wendong (Zhu, Wendong.) [4] | Hou, Linxi (Hou, Linxi.) [5]

Indexed by:

EI

Abstract:

As development of Internet of Things, the E-skin sensor urgently needs to break through the constraints of sensing reliability, miniaturization, and portability. Occurrence of smart textile of integrated triboelectric nanogenerator, bring the endless possibility for exploring advanced sensor, which possess inimitable lightweight, permeability, flexibility, and washability. Herein, an all-nanofiber Janus textile with multi-layer structure was fabricated by continuously electrospinning and electrospray technologies, acting as a self-powered E-skin sensor. After triboelectric layer was modified by fluorinated polyurethane, the optimal triboelectric output reach 356 V, 2.88 μA, 80.12 nC, and 2.49 W m−2, which could power small electronics via rectifier circuit. The great sensitivity (6.79 kPa−1), operational stability, and air permeability (1010.55 g m−2•24 h−1) was realized. As a proof-of-concept, an intelligent Janus textile-based system was fabricated, the precise control of robotic hand and accurate identification of material were realized with assistance of electric circuit module and deep learning (one-dimensional convolutional neural networks), which would present tactile identification for further intelligent robotics and human-machine interaction (HMI). © 2024 Elsevier Ltd

Keyword:

Convolutional neural networks Deep neural networks Electric rectifiers Electronic nose Fabrics Fouling Multilayer neural networks Nanofibers Nanorobots Smart textiles

Community:

  • [ 1 ] [Cheng, Ya]Qingyuan Innovation Laboratory, Quanzhou; 362801, China
  • [ 2 ] [Cheng, Ya]College of Chemical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Cheng, Ya]Alan G. MacDiarmid Institute, College of Chemistry, Jilin University, Changchun; 130012, China
  • [ 4 ] [Ning, Junjie]College of Chemical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Wang, Ce]Alan G. MacDiarmid Institute, College of Chemistry, Jilin University, Changchun; 130012, China
  • [ 6 ] [Zhu, Wendong]Department of Materials Science and Engineering, Fujian University of Technology, Fuzhou; 350118, China
  • [ 7 ] [Zhu, Wendong]Alan G. MacDiarmid Institute, College of Chemistry, Jilin University, Changchun; 130012, China
  • [ 8 ] [Hou, Linxi]Qingyuan Innovation Laboratory, Quanzhou; 362801, China
  • [ 9 ] [Hou, Linxi]College of Chemical Engineering, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [zhu, wendong]alan g. macdiarmid institute, college of chemistry, jilin university, changchun; 130012, china;;[zhu, wendong]department of materials science and engineering, fujian university of technology, fuzhou; 350118, china;;

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Source :

Nano Energy

ISSN: 2211-2855

Year: 2025

Volume: 134

1 6 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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