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Bioelectronics with Topological Crosslinked Networks for Tactile Perception

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

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Abstract

Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information-processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron-transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self-healing, self-powered, and multimodal-sensing capabilities. The development of TCN-based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems. © 2025 The Author(s). Advanced Physics Research published by Wiley-VCH GmbH.
Original languageEnglish
Article number2400165
Number of pages25
JournalAdvanced Physics Research
Volume4
Issue number5
Online published4 Feb 2025
DOIs
Publication statusPublished - May 2025

Funding

This research was financially supported by a fellowship award from the Research Grants Council of the Hong Kong Special Administrative Region, China (CityU RFS2021−1S04) and the State Key Laboratory of Terahertz and Millimeter Waves (City University of Hong Kong).

Research Keywords

  • artificial tactile neurons
  • bioelectronics
  • ion/electronic transport
  • topolog-ical crosslinked network

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

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