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Ligand-channel-induced ion liberation in crowded zwitterionic hydrogel electrolyte for efficient zinc metal batteries

  • Cheng Wang (Co-first Author)
  • , Zhe Gong (Co-first Author)
  • , Jodie A. Yuwono (Co-first Author)
  • , Qiangqiang Meng
  • , Yanqiu Lyu
  • , Shilin Zhang
  • , Shuixin Xia
  • , Xin Zeng
  • , Patrick J. Cullen
  • , Jianfeng Mao*
  • , Zaiping Guo*
  • , Zengxia Pei*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Downloads (CityUHK Scholars)

Abstract

Developing efficient electrolytes is vital for realizing the vision of aqueous rechargeable zinc-metal batteries as a safe and sustainable energy storage technology. Emerging electrolyte engineering approaches including concentrated and molecular crowding electrolytes restrict water reactivity but usually incur limited bulk ionic conductivity and sluggish interfacial kinetics as well. Here we show that this dilemma can be addressed by deploying hydrogel electrolytes that incorporate typical molecular crowding electrolytes with a zwitterionic polymer matrix. This crowded zwitterionic hydrogel electrolyte counterintuitively entails Zn2+ liberation for higher ionic conductivity and prompt interfacial desolvation kinetics while maintaining essential advantages of molecular crowding electrolytes, thereby fundamentally overcoming the critical issues associated with such electrolytes. Such electrolytes enable the assembled zinc-metal batteries and zinc-ion hybrid capacitors to work effectively and stably at high rates (up to 5 A g−1) and frozen temperatures (down to −60°C). The applicability of this crowding-induced ion liberation strategy was also extended to other aqueous metal-ion (Mg2+ and Na+) batteries. This work has the potential to provide a general solution to efficient electrolytes for safer, energy-dense, and cost-effective aqueous energy storage technologies. © The Author(s) 2025.
Original languageEnglish
Article number11069
JournalNature Communications
Volume16
Issue number1
Online published11 Dec 2025
DOIs
Publication statusPublished - 2025

Funding

This work was financially support by Australian Research Council (DE200101669 Z.P., FL210100050 Z.Guo, IH200100035 Z.Guo). The authors acknowledge the high-performance computing support from National Computational Infrastructure (NCI) Australia. Z.P. also acknowledges University of Sydney Horizon Fellowship.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Publisher's Copyright Statement

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

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