Synergistic Work Function Optimization via the Three-Dimensional Gradient Modulation Strategy for High-Performance ORR Electrocatalysis

The oxygen reduction reaction (ORR) is strongly governed by the adsorption of intermediates, where sluggish electron transfer limits the energy conversion efficiency. Modulating the work function (WF) of the catalyst is a promising strategy to regulate electron transfer and adsorption energetics, but most approaches rely on localized modifications, hindering balanced WF optimization. Here, we propose a three-dimensional (3D) gradient WF regulation strategy to construct a catalyst (Co3O4@Co@BN-CNTs) featuring B, N-codoped carbon nanotubes coupled with Co3O4@Co heterointerfaces. In this architecture, B and N doping modulates the carbon surface electronic structure, while nanoscale heterostructures redistribute charge at carbon–metal junctions. This 3D regulation enables precise WF tuning, optimizes intermediate adsorption, and lowers the energy barrier of the potential-determining step (PDS). As a result, the catalyst achieves excellent ORR activity with an onset potential (Eonset) of 0.99 V (vs reversible hydrogen electrode (RHE)) and a half-wave potential (E1/2) of 0.88 V (vs RHE) in 0.1 M KOH. At the same time, Co3O4@Co@BN-CNTs also shows excellent performance as a cathode material for Zn-air batteries, with a peak power density of 134.6 mA cm–2 and stable cycling over 400 cycles. This study provides new insights into multidimensional electronic structure engineering for the design of next-generation electrocatalysts.

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Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2025-11-27
DOI
https://doi.org/10.1021/acssuschemeng.5c10476
Primary Topic
Electrocatalysts for Energy Conversion
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article
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article

Synergistic Work Function Optimization via the Three-Dimensional Gradient Modulation Strategy for High-Performance ORR Electrocatalysis

Zhijie Qi, Jingwei Liu, Junwu Zhu, Xin Wang et al.
ACS Sustainable Chemistry & Engineering
Electrocatalysts for Energy Conversion
article

Synergistic Work Function Optimization via the Three-Dimensional Gradient Modulation Strategy for High-Performance ORR Electrocatalysis

Zhijie Qi, Jingwei Liu, Junwu Zhu, Xin Wang, Miao Xu, Yongsheng Fu, Yang Xue, Pengcheng Yao, Shixiang Zuo, Ying Shen
article en

Abstract

The oxygen reduction reaction (ORR) is strongly governed by the adsorption of intermediates, where sluggish electron transfer limits the energy conversion efficiency. Modulating the work function (WF) of the catalyst is a promising strategy to regulate electron transfer and adsorption energetics, but most approaches rely on localized modifications, hindering balanced WF optimization. Here, we propose a three-dimensional (3D) gradient WF regulation strategy to construct a catalyst (Co3O4@Co@BN-CNTs) featuring B, N-codoped carbon nanotubes coupled with Co3O4@Co heterointerfaces. In this architecture, B and N doping modulates the carbon surface electronic structure, while nanoscale heterostructures redistribute charge at carbon–metal junctions. This 3D regulation enables precise WF tuning, optimizes intermediate adsorption, and lowers the energy barrier of the potential-determining step (PDS). As a result, the catalyst achieves excellent ORR activity with an onset potential (Eonset) of 0.99 V (vs reversible hydrogen electrode (RHE)) and a half-wave potential (E1/2) of 0.88 V (vs RHE) in 0.1 M KOH. At the same time, Co3O4@Co@BN-CNTs also shows excellent performance as a cathode material for Zn-air batteries, with a peak power density of 134.6 mA cm–2 and stable cycling over 400 cycles. This study provides new insights into multidimensional electronic structure engineering for the design of next-generation electrocatalysts.

ACS Sustainable Chemistry & EngineeringVol. 13(49)
Sinopec (China) (CN), Johns Hopkins University (US), Johns Hopkins University Applied Physics Laboratory (US), Nanjing University of Science and Technology (CN), Institute of Molecular Functional Materials (CN), Changzhou University (CN)
Openalex Percentile: Top 73%
Electrocatalysts for Energy Conversion
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