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  5. Hierarchical TiN nanoparticles-assembled nanopillars for flexible supercapacitors with high volumetric capacitance

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Article
en
2018

Hierarchical TiN nanoparticles-assembled nanopillars for flexible supercapacitors with high volumetric capacitance

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0 Files

en
2018
Vol 10 (18)
Vol. 10
DOI: 10.1039/c8nr01485j

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Paul Kim Ho Chu
Paul Kim Ho Chu

Institution not specified

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Ping Qin
Xingxing Li
Biao Gao
+6 more

Abstract

Titanium nitride (TiN) is an attractive electrode material in fast charging/discharging supercapacitors because of its excellent conductivity. However, the low capacitance and mechanical brittleness of TiN restricts its further application in flexible supercapacitors with high energy density. Thus, it is still a challenge to rationally design TiN electrodes with both high electrochemical and mechanical properties. Herein, the hierarchical TiN nanoparticles-assembled nanopillars (H-TiN NPs) array as binder free electrodes were obtained by nitriding of hierarchical titanium dioxide (TiO2) nanopillars, which was produced by a simple hydrothermal treatment of anodic TiO2 nanotubes (NTs) array in water. The porous TiN nanoparticles connected to each other to form ordered nanopillar arrays, effectively providing larger specific surface area and more active sites for charge storage. The H-TiN NPs delivered a high volumetric capacitance of 120 F cm-3 at 0.83 A cm-3, which is better than that of TiN NTs arrays (69 F cm-3 at 0.83 A cm-3). After assembling into all-solid-state devices, the H-TiN NPs based supercapacitors exhibited outstanding volumetric capacitance of 5.9 F cm-3 at 0.02 A cm-3 and a high energy density of 0.53 mW h cm-3. Our results reveal a new strategy to optimize the supercapacitive performance of metal nitrides.

How to cite this publication

Ping Qin, Xingxing Li, Biao Gao, Jijiang Fu, Lu Xia, Xuming Zhang, Kaifu Huo, Wenli Shen, Paul Kim Ho Chu (2018). Hierarchical TiN nanoparticles-assembled nanopillars for flexible supercapacitors with high volumetric capacitance. , 10(18), DOI: https://doi.org/10.1039/c8nr01485j.

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Publication Details

Type

Article

Year

2018

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1039/c8nr01485j

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