Fe/Co Co‐Doping Engineering for Corrosion‐Resistant and Effective Seawater Electrolysis

J Jianxi Lu (Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China) Z Zhichao Yu (Key Laboratory of Deep Petroleum Intelligent Exploration and Development, Institute of Geology and Geophysics, Chinese Academy of Sciences) X Xiaotian Wei (Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China) X Xuewei Zhang X Xin Wang K Kai Liu Y Yaohai Cai (Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China) H Hui Pan (State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai 200032, China) D Dong Liu (Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, National Synchrotron Radiation Laboratory) Z Zhenbo Wang (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

Abstract

Abstract Direct seawater electrolysis is a promising strategy for sustainable hydrogen production, yet it faces critical challenges in catalyst design, including scalability, chloride corrosion resistance, and cost efficiency. A one‐step interfacial redox strategy is reported to construct Fe/Co co‐doped Ru@Ni(OH) 2 electrodes (Ru@FeCo–Ni(OH) 2 ), enabling precise control of metal coordination environments while ensuring industrial‐scale manufacturability. This method enables the fabrication of 5000 cm 2 electrodes with no performance deviation, demonstrating compatibility with commercial electrolyzers. The Ru@FeCo‐Ni(OH) 2 electrodes exhibit remarkable durability (>3000 h) and achieve hydrogen production at $0.87 per kg using natural seawater from the South China Sea (unpurified, with KOH added), surpassing the U.S. Department of Energy's 2031 cost target of $1 per kg. Operando spectroscopy and DFT calculations reveal a synergistic co‐doping mechanism: 1) d‐band center downshifting (Δ E = 0.68 eV) optimizes hydrogen adsorption for superior hydrogen evolution reaction performance, while 2) accelerated surface reconstruction forms chloride‐resistant oxyhydroxide layers, improving oxygen evolution reaction efficiency. This work establishes a new paradigm in bifunctional catalyst design, providing mechanistic insights into active site evolution and a scalable pathway for cost‐effective green hydrogen production directly from seawater.

Article Details

Volume / Issue Vol. 38, Issue 2
Published January 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (10)

J

Jianxi Lu

Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China

Z

Zhichao Yu

Key Laboratory of Deep Petroleum Intelligent Exploration and Development, Institute of Geology and Geophysics, Chinese Academy of Sciences

X

Xiaotian Wei

Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China

X

Xuewei Zhang

X

Xin Wang

K

Kai Liu

Y

Yaohai Cai

Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen 518060 China

H

Hui Pan

State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Shanghai 200032, China

D

Dong Liu

Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, National Synchrotron Radiation Laboratory

Z

Zhenbo Wang

Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences