Self-adaptive ZrN coating enables stable acidic oxygen evolution on Co <sub>3</sub> O <sub>4</sub> through dynamic surface reconstruction

The development of acid-stable, non-precious catalysts for the oxygen evolution reaction (OER) remains a critical challenge for proton exchange membrane water electrolyzers (PEMWEs). While Co<sub>3</sub>O<sub>4</sub> shows promising OER activity, its rapid dissolution in acidic media severely limits practical application. Here, we design a self-adaptive protection strategy by depositing ZrN coatings on Co<sub>3</sub>O<sub>4</sub> precursor <i>via</i> magnetron sputtering. Controlled calcination transforms the initial ZrN coating into a mixed-phase Zr<sub>2</sub>ON<sub>2</sub> and ZrO<sub>2</sub> surface layer. This unique coating architecture combines the high conductivity of Zr<sub>2</sub>ON<sub>2</sub> with the corrosion resistance of ZrO<sub>2</sub>, enabling high OER performance with a low overpotential of 362 mV at 10 mA cm<sup>-2</sup> and good stability of over 140 h at 100 mA cm<sup>-2</sup> in 0.1 M HClO<sub>4</sub>. Structural characterization reveals that under OER conditions, the coating spontaneously reconstructs, preferentially forming Zr<b><sub>2</sub></b>ON<b><sub>2</sub></b> due to its thermodynamic stability. This reconstruction simultaneously optimizes interfacial charge transfer and suppresses Co over-oxidation, thereby inhibiting dissolution. When integrated into PEMWEs, the catalyst demonstrates practical viability, sustaining 500 mA cm<sup>-2</sup> at 1.8 V with >40 h stability at 200 mA cm<sup>-2</sup>. This work establishes dynamic coating reconstruction as a powerful strategy for designing stable acidic OER catalysts.

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Journal
Materials Horizons
Published
2025-10-22
DOI
https://doi.org/10.1039/d5mh01453k
Citations
1
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.73
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Self-adaptive ZrN coating enables stable acidic oxygen evolution on Co 3 O 4 through dynamic surface reconstruction

Ali Sufyan, Lujiao Mao, Zheng Han, Hanfeng Liang et al.
1 citations
Materials Horizons
Semiconductor materials and devices
0.73
article

Self-adaptive ZrN coating enables stable acidic oxygen evolution on Co 3 O 4 through dynamic surface reconstruction

Ali Sufyan, Lujiao Mao, Zheng Han, Hanfeng Liang, Jiahao Li, Xin Liu, Jiaxian Zheng, Erik van Andreas Loon
article en
1 citations

Abstract

The development of acid-stable, non-precious catalysts for the oxygen evolution reaction (OER) remains a critical challenge for proton exchange membrane water electrolyzers (PEMWEs). While Co<sub>3</sub>O<sub>4</sub> shows promising OER activity, its rapid dissolution in acidic media severely limits practical application. Here, we design a self-adaptive protection strategy by depositing ZrN coatings on Co<sub>3</sub>O<sub>4</sub> precursor <i>via</i> magnetron sputtering. Controlled calcination transforms the initial ZrN coating into a mixed-phase Zr<sub>2</sub>ON<sub>2</sub> and ZrO<sub>2</sub> surface layer. This unique coating architecture combines the high conductivity of Zr<sub>2</sub>ON<sub>2</sub> with the corrosion resistance of ZrO<sub>2</sub>, enabling high OER performance with a low overpotential of 362 mV at 10 mA cm<sup>-2</sup> and good stability of over 140 h at 100 mA cm<sup>-2</sup> in 0.1 M HClO<sub>4</sub>. Structural characterization reveals that under OER conditions, the coating spontaneously reconstructs, preferentially forming Zr<b><sub>2</sub></b>ON<b><sub>2</sub></b> due to its thermodynamic stability. This reconstruction simultaneously optimizes interfacial charge transfer and suppresses Co over-oxidation, thereby inhibiting dissolution. When integrated into PEMWEs, the catalyst demonstrates practical viability, sustaining 500 mA cm<sup>-2</sup> at 1.8 V with >40 h stability at 200 mA cm<sup>-2</sup>. This work establishes dynamic coating reconstruction as a powerful strategy for designing stable acidic OER catalysts.

Materials HorizonsVol. 13(2)
Lund University (SE), Xiamen University (CN), Tan Kah Kee Innovation Laboratory (CN), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 22%
Semiconductor materials and devices
0.73
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