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Research Article | Open Access

Local electric field engineering via ferroelectric substrates for enhanced oxygen reduction reaction on single-atom catalysts

Yangfan Shao§Zhichao Zhang§Jia Li ( )
Shenzhen Geim Graphene Center and Institute of Materials Research, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

§ Yangfan Shao and Zhichao Zhang contributed equally to this work.

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Abstract

Environmental factors at electrochemical interfaces, such as the local electric field, are widely recognized as critical determinants of catalytic performance, which could strongly influence reaction pathways and kinetics. However, strategies that leverage these effects to precisely control catalytic activity are limited. In this study, using grand canonical potential density functional theory, we demonstrate that combining single-atom catalysts (SACs) with ferroelectric substrates is a powerful solution. The modified local electric field significantly weakens the adsorption of the *OH intermediate in the oxygen reduction reaction (ORR) on the FeN4–C catalyst. By establishing a physical model, we reveal that the local electric field is primarily modified by surface charges induced by the applied potential and the intrinsic dipole moment of the substrate. Our findings highlight the significant role of local electric fields in tailoring catalytic mechanism, and pave the way for a promising substate engineering approach in the rational design of high-performance electrocatalytic devices.

Graphical Abstract

Using constant-potential grand canonical simulations, we demonstrate that ferroelectric polarization can effectively tune interfacial electric fields and influence catalytic behavior, and a physical model is established to elucidate the underlying mechanism.

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Nano Research
Article number: 94908460

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Cite this article:
Shao Y, Zhang Z, Li J. Local electric field engineering via ferroelectric substrates for enhanced oxygen reduction reaction on single-atom catalysts. Nano Research, 2026, 19(6): 94908460. https://doi.org/10.26599/NR.2026.94908460
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Received: 28 November 2025
Revised: 30 December 2025
Accepted: 16 January 2026
Published: 15 May 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).