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Metallic glass-based triboelectric nanogenerators

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Abstract

Surface wear is a major hindrance in the solid/solid interface of triboelectric nanogenerators (TENG), severely affecting their output performance and stability. To reduce the mechanical input and surface wear, solid/liquid-interface alternatives have been investigated; however, charge generation capability is still lower than that in previously reported solid/solid-interface TENGs. Thus, achieving triboelectric interface with high surface charge generation capability and low surface wear remains a technological challenge. Here, we employ metallic glass as one triboelectric interface and show it can enhance the triboelectrification efficiency by up to 339.2%, with improved output performance. Through mechanical and electrical characterizations, we show that metallic glass presents a lower friction coefficient and better wear resistance, as compared with copper. Attributed to their low atomic density and the absence of grain boundaries, all samples show a higher triboelectrification efficiency than copper. Additionally, the devices demonstrate excellent humidity resistance. Under different gas pressures, we also show that metallic glass-based triboelectric nanogenerators can approach the theoretical limit of charge generation, exceeding that of Cu-based TENG by 35.2%. A peak power density of 15 MW·m-2 is achieved. In short, this work demonstrates a humidity- and wear-resistant metallic glass-based TENG with high triboelectrification efficiency. © 2023, The Author(s).
Original languageEnglish
Article number1023
JournalNature Communications
Volume14
Online published23 Feb 2023
DOIs
Publication statusPublished - 2023

Funding

This work was funded by HKSAR the Research Grants Council General Research Funds (Grant no. 14200120, 14202121), National Natural Science Foundation of China (Grant no. 52275560), Guangdong Natural Science Funds for Distinguished Young Scholar (Grant no. 2023B1515020074), and the start-up fund of Hong Kong University of Science and Technology – Guangzhou (Grant no. G0101000092). This work was supported in part by the Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone (HZQBKCZYB−2020083). The work of Y.Y. is supported by the Research Grants Council (RGC), the Hong Kong government, through the General Research Fund (GRF) with the grant numbers CityU11200719 and CityU11213118 and through the NSCF-RGC joint research scheme with the grant number N_CityU 109/21.

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

ESI Highly Cited Papers

  • Highly Cited Paper 2023

ESI Highly Cited Paper Designation Date(s)

  • 20231109
  • 20230915

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