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Intercalation of organics into layered structures enables superior interface compatibility and fast charge diffusion for dendrite-free Zn anodes

  • Huili Peng
  • , Changhui Liu
  • , Nana Wang
  • , Chenggang Wang
  • , Dongdong Wang
  • , Yanlu Li
  • , Bo Chen
  • , Jian Yang*
  • , Yitai Qian
  • *Corresponding author for this work

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

Abstract

Zinc anodes in aqueous batteries always suffer from severe electrochemical corrosion and terrible dendrite growth. These issues could be alleviated by using hydrophobic polymers and ion-conductive inorganics together as an artificial layer. However, inorganics without special modifications always show an inferior compatibility with hydrophobic polymers, thus leading to a loose and porous layer and a limited inhibition of side reactions. Here, monodisperse hexagonal nanoplates of alpha-ZrP are intercalated by n-butylamine, successfully improving the compatibility with N-methyl pyrrolidone and poly(vinyldene fluoride) usually used as a recipe for artificial layers. The obtained layer on Zn is dense and robust, thus reducing the direct exposure of Zn to electrolytes and well suppressing the side reactions. This intercalation also increases the interlayer spacing and improves the charge transfer, enriching the future selection of conductive inorganics. Hence, the electrochemical performances are much better than those of bare Zn and untreated alpha-ZrP. Finally, a similar enhancement is confirmed in other layered structures, demonstrating the promising prospects of this strategy.
Original languageEnglish
Pages (from-to)1682-1693
JournalEnergy & Environmental Science
Volume15
Issue number4
Online published8 Mar 2022
DOIs
Publication statusPublished - 1 Apr 2022

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

Research Keywords

  • ELECTROLYTE
  • APPROXIMATION

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