A pH-dependent microkinetic modeling guided synthesis of porous dual-atom catalysts for efficient oxygen reduction in Zn–air batteries

Abstract

The oxygen reduction reaction (ORR) plays a crucial role in diverse energy conversion devices, such as zinc–air batteries (ZABs). Highly-efficient screening, rational design and precise synthesis of active and stable ORR electrocatalysts will advance ZAB technology for practical applications but they remain very challenging. Herein, we utilized a pH-field coupled microkinetic model to identify Fe1Co1–N6 as the optimal dual-atom catalyst (DAC) for ORR in alkaline media. According to theoretical prediction, a Fe1Co1–N–C DAC with a hierarchically porous structure was synthesized by a hard-template method following a CO2 activation process. The prepared Fe1Co1–N–C DAC exhibits superior ORR activity and stability to the benchmark Pt/C catalyst. More impressively, the Fe1Co1–N–C based ZABs exhibit excellent performance including a high open-circuit voltage (1.51 V), a very high energy density (1079 W h kgZn−1), the best-ever rate capability (from 2 to 600 mA cm−2), and ultra-long ZAB lifespan (over 3600 h/7200 cycles under 5 mA cm−2). This work not only demonstrates that highly-efficient screening combined with rational design of DACs with optimal active sites and pore structures can boost their practical applications, but also presents a highly promising and effective way to synthesize different electrocatalysts for diverse applications.

Graphical abstract: A pH-dependent microkinetic modeling guided synthesis of porous dual-atom catalysts for efficient oxygen reduction in Zn–air batteries

Supplementary files

Article information

Article type
Paper
Submitted
13 Jan 2025
Accepted
11 Mar 2025
First published
28 Apr 2025
This article is Open Access
Creative Commons BY-NC license

Energy Environ. Sci., 2025, Advance Article

A pH-dependent microkinetic modeling guided synthesis of porous dual-atom catalysts for efficient oxygen reduction in Zn–air batteries

T. Li, D. Zhang, Y. Zhang, D. Yang, R. Li, F. Yu, K. Zhong, X. Su, T. Song, L. Jiao, H. Jiang, G. Sheng, J. Xu, H. Li and Z. Wu, Energy Environ. Sci., 2025, Advance Article , DOI: 10.1039/D5EE00215J

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements