Decoupling Bubble Nucleation from Catalysis to Boost CuxO/NiO Electrocatalytic Water Splitting.

Journal: Nano letters
Published Date:

Abstract

Efficient water splitting requires low overpotentials and mitigated bubble-induced mass transfer resistance at high current densities. However, the conflict between catalysis and bubble management intensifies at these currents, blocking mass transfer and rendering the catalytic sites inaccessible. Here, we embed CuxO nucleation promoters in NiO nanosheet arrays to minimize overpotentials in electrochemical water splitting by decoupling bubble release from catalytic activity. Electrochemical measurements confirm a drastically reduced activation and mass transfer overpotential. Operando high-speed imaging combined with deep learning quantifies accelerated O2 bubble dynamics at the CuxO/NiO/NF interface. DFT calculations and Monte Carlo simulations show CuxO acts as both O2 bubble nucleation sites and a catalytic promoter for water splitting. An anion exchange membrane water electrolysis cell with CuxO/NiO/NF delivers a current density of 3 A cm-2 at 2.13 V (ambient temperature). This bubble-catalysis-decoupling methodology and mechanistic insight will enable the rational design of advanced electrocatalytic systems for high-current density operation.

Authors

  • Hanxiao Wang
    State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China.
  • Xiangdong Xue
    State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China.
  • Miaomiao Fan
    College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.
  • Yucheng Dong
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Xuyun Wang
    College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.
  • Qing Dong
  • Wenshuo Wang
    Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China.
  • Rongfang Wang
    School of Artificial Intelligence, Xidian University, Xi'an 710071, People's Republic of China. Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75235, United States of America. Medical Artificial Intelligence and Automation (MAIA) Lab, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.
  • Jian Liu
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.

Keywords

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