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Revamping Triboelectric Output by Deep Trap Construction

  • Nannan Wang
  • , Yizhe Liu
  • , Yange Feng
  • , Jing Yang
  • , Yaze Wu
  • , Boya Zhang
  • , Yixuan Li
  • , Bofan Li
  • , Sheng Wang
  • , Enyi Ye
  • , Yong Wei Zhang
  • , Xian Jun Loh
  • , Feng Zhou
  • , Zibiao Li
  • , Daoai Wang
  • CAS - Lanzhou Institute of Chemical Physics
  • Agency for Science, Technology and Research, Singapore
  • Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing
  • Xi'an Jiaotong University
  • National University of Singapore
  • Qingdao Center of Resource Chemistry and New Materials

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

High output performance is critical for building triboelectric nanogenerators (TENGs) for future multifunctional applications. Unfortunately, the high triboelectric charge dissipation rate has a significant negative impact on its electrical output performance. Herein, a new tribolayer is designed through introducing self-assembled molecules with large energy gaps on commercial PET fibric to form carrier deep traps, which improve charge retention while decreasing dissipation rates. The deep trap density of the PET increases by two orders of magnitude, resulting in an 86% reduction in the rate of charge dissipation and a significant increase in the charge density that can be accumulated on tribolayer during physical contact. The key explanation is that increasing the density of deep traps improves the dielectric's ability to store charges, making it more difficult for the triboelectric charges trapped by the tribolayer to escape from the deep traps, lowering the rate of charge dissipation. This TENG has a 1300% increase in output power density as a result of altering the deep trap density, demonstrating a significant improvement. This work describes a simple yet efficient method for building TENGs with ultra-high electrical output and promotes their practical implementation in the sphere of the Internet of Things.

Original languageEnglish
Article number2303389
JournalAdvanced Materials
Volume36
Issue number13
DOIs
StatePublished - 28 Mar 2024

Keywords

  • Internet of Things (IoT)
  • deep traps
  • dielectric energy storage
  • self-assembled molecules
  • triboelectric nanogenerators

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