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Coordination structure engineering of Cu-based electrocatalysts for electrocatalytic water splitting

  • Chengling Luo
  • , Xinjuan Liu*
  • , Kun Yang
  • , Jun Xu
  • , Zhijing Zhu
  • , Zhihong Tang
  • , Shuling Shen
  • , Jinchen Fan
  • , Dan Luo
  • , Nawaa Ali H. Alshammari
  • , Zeinhom M. El-Bahy
  • , Xingtao Xu
  • , Yuhua Xue
  • , Likun Pan
  • *Corresponding author for this work
  • University of Shanghai for Science and Technology
  • Zhejiang Ocean University
  • Northern Borders University
  • Al-Azhar University

Research output: Contribution to journalReview articlepeer-review

Abstract

Electrocatalytic water splitting represents a prospective technology with significant potential in the field of clean energy conversion. However, it faces several challenges, including the lower energy conversion efficiency and transport efficiency of ions/electrons. A comprehensive understanding of the local electronic coordination structure and charge transfer behavior of electrocatalysts is crucial for optimizing their catalytic performance. In this study, we aim to investigate the impact of the coordination structure of Cu-based electrocatalysts on the activity. Furthermore, we provide suggestions for modulating the local electronic structure, thus reducing adsorption/activation energy for water and intermediates, and enhancing electronic conductivity. First, we delve into the mechanism and descriptors of electrocatalytic water splitting. Subsequently, we scrutinize the challenges inherent in the process focusing on electrocatalytic water splitting mechanism. More importantly, we elaborate on the engineering and alterations of coordination structures in electrocatalytic water splitting process through in- or ex- situ spectroscopy. Additionally, we underscore the application of machine learning in predicting the correlation between local electronic structure and activity. Finally, we identify the opportunities and outline associated with Cu-based electrocatalysts for water splitting.

Original languageEnglish
Article number215936
JournalCoordination Chemistry Reviews
Volume516
DOIs
StatePublished - 1 Oct 2024

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

Keywords

  • Coordination structure engineering
  • Electrocatalytic water splitting
  • Machine learning
  • Mechanisms
  • Nanoarchitectonics

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