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  5. Cross‐Link‐Dependent Ionogel‐Based Triboelectric Nanogenerators with Slippery and Antireflective Properties

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Article
en
2023

Cross‐Link‐Dependent Ionogel‐Based Triboelectric Nanogenerators with Slippery and Antireflective Properties

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en
2023
Vol 19 (24)
Vol. 19
DOI: 10.1002/smll.202301381

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Paul Kim Ho Chu
Paul Kim Ho Chu

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Yinghong Wu
Tyler J. Cuthbert
Yang Luo
+2 more

Abstract

Given the ability to convert various ambient unused mechanical energies into useful electricity, triboelectric nanogenerators (TENGs) are gaining interest since their inception. Recently, ionogel-based TENGs (I-TENGs) have attracted increasing attention because of their excellent thermal stability and adjustable ionic conductivity. However, previous studies on ionogels mainly pursued the device performance or applications under harsh conditions, whereas few have investigated the structure-property relationships of components to performance. The results indicate that the ionogel formulation-composed of a crosslinking monomer with an ionic liquid-affects the conductivity of the ionogel by modulating the cross-link density. In addition, the ratio of cross-linker to ionic liquid is important to ensure the formation of efficient charge channels, yet increasing ionic liquid content delivers diminishing returns. The ionogels are then used in I-TENGs to harvest water droplet energy and the performance is correlated to the ionogels structure-property relationships. Improvement of the energy harvesting is further explored by the introduction of surface polymer brushes on I-TENGs via a facile and universal method, which enhances droplet sliding by means of ideal surface contact angle hysteresis and improves its anti-reflective properties by employing the I-TENG as a surface covering for solar cells.

How to cite this publication

Yinghong Wu, Tyler J. Cuthbert, Yang Luo, Paul Kim Ho Chu, Carlo Menon (2023). Cross‐Link‐Dependent Ionogel‐Based Triboelectric Nanogenerators with Slippery and Antireflective Properties. , 19(24), DOI: https://doi.org/10.1002/smll.202301381.

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Publication Details

Type

Article

Year

2023

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/smll.202301381

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