Engineering high-density microcrystalline boundary with V-doped RuO2 for high-performance oxygen evolution in acid

Designing efficient acidic oxygen evolution catalysts for proton exchange membrane water electrolyzers is challenging due to a trade-off between activity and stability. In this work, we construct high-density microcrystalline grain boundaries (GBs) with V-dopant in RuO<sub>2</sub> matrix (GB-V-RuO<sub>2</sub>). Our theoretical and experimental results indicate this is a highly active and acid-resistant OER catalyst. Specifically, the GB-V-RuO<sub>2</sub> requires low overpotentials of 159, 222, and 300 mV to reach 10, 100, and 1500 mA cm<sup>-2</sup><sub>geo</sub> in 0.5 M H<sub>2</sub>SO<sub>4</sub>, respectively. Operando EIS, ATR-SEIRAS FTIR and DEMS measurements reveal the importance of GBs in stabilizing lattice oxygen and thus inhibiting the lattice oxygen mediated OER pathway. As a result, the adsorbate evolution mechanism pathway becomes dominant, even at high current densities. Density functional theory analyses confirm that GBs can stabilize V dopant and that the synergy between them modulates the electronic structure of RuO<sub>2</sub>, thus optimizing the adsorption of OER intermediate species and enhancing electrocatalyst stability. Our work demonstrates a rational strategy for overcoming the traditional activity/stability dilemma, offering good prospects of developing high-performance acidic OER catalysts.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-05-14
DOI
https://doi.org/10.1038/s41467-025-59472-0
Citations
50
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
18.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering high-density microcrystalline boundary with V-doped RuO2 for high-performance oxygen evolution in acid

Zhanzhao Fu, Han Wu, Geoffrey I. N. Waterhouse, Zhongjian Hu et al.
50 citations
Nature Communications
Electrocatalysts for Energy Conversion
18.17
article

Engineering high-density microcrystalline boundary with V-doped RuO2 for high-performance oxygen evolution in acid

Zhanzhao Fu, Han Wu, Geoffrey I. N. Waterhouse, Zhongjian Hu, Xue Yong, Zhiyong Tang, Jiangwei Chang, Junbiao Chang, Siyu Lu, Jiansheng Li, Siyang Wang, Jingkun Yu
article en
50 citations

Abstract

Designing efficient acidic oxygen evolution catalysts for proton exchange membrane water electrolyzers is challenging due to a trade-off between activity and stability. In this work, we construct high-density microcrystalline grain boundaries (GBs) with V-dopant in RuO<sub>2</sub> matrix (GB-V-RuO<sub>2</sub>). Our theoretical and experimental results indicate this is a highly active and acid-resistant OER catalyst. Specifically, the GB-V-RuO<sub>2</sub> requires low overpotentials of 159, 222, and 300 mV to reach 10, 100, and 1500 mA cm<sup>-2</sup><sub>geo</sub> in 0.5 M H<sub>2</sub>SO<sub>4</sub>, respectively. Operando EIS, ATR-SEIRAS FTIR and DEMS measurements reveal the importance of GBs in stabilizing lattice oxygen and thus inhibiting the lattice oxygen mediated OER pathway. As a result, the adsorbate evolution mechanism pathway becomes dominant, even at high current densities. Density functional theory analyses confirm that GBs can stabilize V dopant and that the synergy between them modulates the electronic structure of RuO<sub>2</sub>, thus optimizing the adsorption of OER intermediate species and enhancing electrocatalyst stability. Our work demonstrates a rational strategy for overcoming the traditional activity/stability dilemma, offering good prospects of developing high-performance acidic OER catalysts.

Nature CommunicationsVol. 16(1)
University of Liverpool (GB), University of Auckland (NZ), Zhengzhou University (CN), Zhejiang Energy Research Institute (CN), Zhejiang Energy Group (China) (CN), National Center for Nanoscience and Technology (CN), Zhejiang University (CN)
Leverhulme Trust, Royal Society Te Apārangi, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Zhengzhou University, Natural Science Foundation of Henan Province
Openalex Percentile: Top 0%
Electrocatalysts for Energy Conversion
18.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.