Advanced Science (Oct 2023)

Progress in Manipulating Dynamic Surface Reconstruction via Anion Modulation for Electrocatalytic Water Oxidation

  • Zexing He,
  • Muhammad Ajmal,
  • Minghui Zhang,
  • Xiaokang Liu,
  • Zhen‐Feng Huang,
  • Chengxiang Shi,
  • Ruijie Gao,
  • Lun Pan,
  • Xiangwen Zhang,
  • Ji‐Jun Zou

DOI
https://doi.org/10.1002/advs.202304071
Journal volume & issue
Vol. 10, no. 29
pp. n/a – n/a

Abstract

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Abstract The development of efficient and economical electrocatalysts for oxygen evolution reaction (OER) is of paramount importance for the sustainable production of renewable fuels and energy storage systems; however, the sluggish OER kinetics involving multistep four proton‐coupled electron transfer hampers progress in these systems. Fortunately, surface reconstruction offers promising potential to improve OER catalyst design. Anion modulation plays a crucial role in controlling the extent of surface reconstruction and positively persuading the reconstructed species' performances. This review starts by providing a general explanation of how various types of anions can trigger dynamic surface reconstruction and create different combinations with pre‐catalysts. Next, the influences of anion modulation on manipulating the surface dynamic reconstruction process are discussed based on the in situ advanced characterization techniques. Furthermore, various effects of survived anionic groups in reconstructed species on water oxidation activity are further discussed. Finally, the challenges and prospects for the future development directions of anion modulation for redirecting dynamic surface reconstruction to construct highly efficient and practical catalysts for water oxidation are proposed.

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