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Heterojunction Engineering of Electrodes and Membranes in Redox Flow Batteries

  • Xiaoxin Dan
  • , Zanbin Li
  • , Mingying Chen
  • , Xianghua Hou*
  • , Yang Luo*
  • , Longchao Zhuo
  • , Wenxian Liu*
  • , Ligang Feng
  • , Xijun Liu*
  • *Corresponding author for this work

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

Abstract

Redox flow batteries (RFBs) have demonstrated considerable potential for application prospects in the domain of large-scale energy storage. This potential can be attributed to their notable advantages, which include the decoupling of power and capacity, a prolonged cycle life, and a high level of safety. However, the enhancement of their energy efficiency and power density remains significantly constrained by critical issues, including sluggish reaction kinetics, the shuttle effect of active species, and inadequate interfacial stability. In recent years, heterojunctions have emerged as an efficient interfacial engineering strategy, providing novel solutions for enhancing the key performance of RFBs. This enhancement is achieved through the reconstruction of the interfacial electronic structure and modulation of the built-in electric field. This study provides a comprehensive review of the research progress related to heterojunctions in RFBs. The study focuses on summarizing the construction strategies and action mechanisms of heterojunction electrodes and heterojunction ion exchange membranes. It also discusses the regulatory effects of these materials on redox reaction kinetics, ion transport behavior, and cycling stability of RFBs. Additionally, the development trend of machine learning-assisted rational design of heterojunctions is discussed in detail. The objective of this work is to establish a theoretical framework and to elucidate the research insights pertinent to the precision design and engineering application of heterojunction materials in high-performance RFBs. © 2026 The Chemical Society of Japan and Wiley-VCH GmbH.
Original languageEnglish
Article numbere70183
Number of pages23
JournalThe Chemical Record
Volume26
Issue number8
Online published1 Jun 2026
DOIs
Publication statusPublished - Aug 2026

Funding

This study was supported by the National Natural Science Foundation of China (22275166 and 22469002).

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

  • electrode design
  • heterojunctions
  • machine learning
  • redox flow batteries

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