An Extreme Environment Capable Self‐Healing Single Active Layered Triboelectric Sensors as Fully Recyclable and Transparent Human‐Machine Interfaces

Abstract Current approaches to triboelectric devices require multiple layers. Here, a transparent ultra‐stretchable single active layered ionic‐based nanogenerator is shown that can self‐heal in both dry and wet environments. Despite being conductive, surprisingly the ionogel exhibits triboelectric properties and generates output voltages ranging from 1.7 to 70 V. By tuning the ionic liquid concentration, unique triboelectric devices with position‐detection and energy harvesting ability are developed. This design enables visualization of the mechanical force distribution through the mechano‐electric‐optical conversion process, which is achieved by changing it from an insulating dielectric material to a tribo‐negative ionic conducting material. The triboelectric device maintains its stability and self‐healing ability at extreme environments (−20 to 380 °C, pH 1.3 to 13), and the device can be fully closed‐loop recycled for reuse. Various human‐machine interface applications such as untethered self‐powered light‐emitting jellyfish‐like devices are demonstrated, a mechano‐thermal sensor array, and tactile recognition of object shapes with over 91% accuracy using convolution neural networks (CNN).

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Publication Details

Journal
Advanced Functional Materials
Published
2024-12-06
DOI
https://doi.org/10.1002/adfm.202414152
Citations
14
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.58
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article

An Extreme Environment Capable Self‐Healing Single Active Layered Triboelectric Sensors as Fully Recyclable and Transparent Human‐Machine Interfaces

Xu Cheng, Benjamin C. K. Tee, Pengju Li, Hian Hian See et al.
14 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.58
article

An Extreme Environment Capable Self‐Healing Single Active Layered Triboelectric Sensors as Fully Recyclable and Transparent Human‐Machine Interfaces

Xu Cheng, Benjamin C. K. Tee, Pengju Li, Hian Hian See, Fang‐Cheng Liang, Yu Jun Tan, Zijie Yang, Weidong Yang, Mengmeng Liu
article en
14 citations

Abstract

Abstract Current approaches to triboelectric devices require multiple layers. Here, a transparent ultra‐stretchable single active layered ionic‐based nanogenerator is shown that can self‐heal in both dry and wet environments. Despite being conductive, surprisingly the ionogel exhibits triboelectric properties and generates output voltages ranging from 1.7 to 70 V. By tuning the ionic liquid concentration, unique triboelectric devices with position‐detection and energy harvesting ability are developed. This design enables visualization of the mechanical force distribution through the mechano‐electric‐optical conversion process, which is achieved by changing it from an insulating dielectric material to a tribo‐negative ionic conducting material. The triboelectric device maintains its stability and self‐healing ability at extreme environments (−20 to 380 °C, pH 1.3 to 13), and the device can be fully closed‐loop recycled for reuse. Various human‐machine interface applications such as untethered self‐powered light‐emitting jellyfish‐like devices are demonstrated, a mechano‐thermal sensor array, and tactile recognition of object shapes with over 91% accuracy using convolution neural networks (CNN).

Advanced Functional MaterialsVol. 35(4)
National University of Singapore (SG), National University Health System (SG)
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
2.58
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An Extreme Environment Capable Self‐Healing Single Active Layered Triboelectric Sensors as Fully Recyclable and Transparent Human‐Machine Interfaces — Xu Cheng, Benjamin C. K. Tee, et al. · Advanced Functional Materials (2024) | TGRS Research Map | TGRS