Synergistic Modulation of Ru–O Bond Covalency via Ba/Fe Co‐Doping and Oxygen‐Vacancy Engineering for Efficient Wide‐pH Oxygen Evolution

Developing efficient and stable oxygen evolution reaction (OER) catalysts across a wide-pH range is critical for practical water electrolysis. Here, it is demonstrated that co-doping Ba and Fe into RuO<sub>2</sub>, together with oxygen vacancy engineering, synergistically tailors the Ru-O bond covalency, yielding highly active and durable OER catalysis across acidic, alkaline, and neutral media. Structural and spectroscopic analyses (XRD, XPS, and XAS) reveal that Ba doping expands the Ru-O bond length and weakens electron cloud overlap, whereas Fe doping contracts the bond and strengthens covalency. Their cooperative effect in co-doped RuO<sub>2</sub> produces a moderate Ru-O bond covalency, balancing adsorption energies of OER intermediates. Density functional theory further confirms that the neighboring Ru sites near dopants and oxygen vacancies provide optimal adsorption, lowering the rate-limiting barrier. This covalency tuning strategy endows co-doped RuO<sub>2</sub> with both high intrinsic activity and structural stability, as evidenced by low overpotentials of 174, 236, and 284 mV at 10 mA cm<sup>2</sup> in acidic, alkaline, and neutral electrolytes, and over 360 h of continuous operation with negligible degradation. This work highlights Ru-O bond covalency modulation as an effective design principle for wide-pH, high-performance Ru-based OER catalysts.

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Publication Details

Journal
Advanced Science
Published
2026-02-16
DOI
https://doi.org/10.1002/advs.202520473
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

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article

Synergistic Modulation of Ru–O Bond Covalency via Ba/Fe Co‐Doping and Oxygen‐Vacancy Engineering for Efficient Wide‐pH Oxygen Evolution

Zongpeng Wang, Longfei Ding, Puyou Ying, Hanhui Lei et al.
Advanced Science
Electrocatalysts for Energy Conversion
article

Synergistic Modulation of Ru–O Bond Covalency via Ba/Fe Co‐Doping and Oxygen‐Vacancy Engineering for Efficient Wide‐pH Oxygen Evolution

Zongpeng Wang, Longfei Ding, Puyou Ying, Hanhui Lei, Reem F. Alshehri, Ting Jiang, Terence X. Liu, Hongxiang Chen, Yuanmo Lin
article en

Abstract

Developing efficient and stable oxygen evolution reaction (OER) catalysts across a wide-pH range is critical for practical water electrolysis. Here, it is demonstrated that co-doping Ba and Fe into RuO<sub>2</sub>, together with oxygen vacancy engineering, synergistically tailors the Ru-O bond covalency, yielding highly active and durable OER catalysis across acidic, alkaline, and neutral media. Structural and spectroscopic analyses (XRD, XPS, and XAS) reveal that Ba doping expands the Ru-O bond length and weakens electron cloud overlap, whereas Fe doping contracts the bond and strengthens covalency. Their cooperative effect in co-doped RuO<sub>2</sub> produces a moderate Ru-O bond covalency, balancing adsorption energies of OER intermediates. Density functional theory further confirms that the neighboring Ru sites near dopants and oxygen vacancies provide optimal adsorption, lowering the rate-limiting barrier. This covalency tuning strategy endows co-doped RuO<sub>2</sub> with both high intrinsic activity and structural stability, as evidenced by low overpotentials of 174, 236, and 284 mV at 10 mA cm<sup>2</sup> in acidic, alkaline, and neutral electrolytes, and over 360 h of continuous operation with negligible degradation. This work highlights Ru-O bond covalency modulation as an effective design principle for wide-pH, high-performance Ru-based OER catalysts.

Advanced Science
Taif University (SA), Taibah University (SA), Northumbria University (GB), Putian University (CN), Taizhou University (CN), Fujian University of Technology (CN)
National Natural Science Foundation of China, Taif University, Putian University, Engineering and Physical Sciences Research Council, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 56%
Electrocatalysts for Energy Conversion
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