Dynamic Fe─F Coordination Triggered Structure‐Adaptive Fe–N–C for Efficient Oxygen Reduction Electrocatalysis

Abstract The sustainable and widespread developments of fuel cells require material innovation toward the sluggish oxygen reduction reaction (ORR). Although iron and nitrogen co‐doped carbon material (Fe–N–C) is a promising alternative to scarce and expensive platinum‐based electrocatalysts, the linear scaling relationships among the intermediates’ adsorption energy limit maximum performance. Herein, we propose a coordination‐adaptive catalyst design to bypass the intrinsic scaling relations through incorporating quasi‐covalent Fe─F bond. Operando experiments and theoretical calculations demonstrate that the cleavage of Fe‐F bond facilitates the activation of O 2 and the formation of OOH*, while the self‐healing of Fe─F bond regulates the binding strength with O* and OH*, thus breaking the OH*‐OOH*/O* scaling relations. As a result, the well‐designed F–Fe–N–C delivers a half‐wave potential ( E 1/2 ) of 0.91 V (versus RHE), along with significantly improved stability with only 2 mV loss in E 1/2 after 80,000 voltage cycles. When applied to the cathode of anion‐exchange membrane fuel cell, F–Fe–N–C exhibits high peak power density of 813 mW cm −2 under H 2 ‐air condition and achieves extremely high current (141 mA cm −2 at 0.9 V iR‐free ) in H 2 –O 2 condition. This work not only offers a promising ORR electrocatalyst but also provides a new strategy to circumvent the fundamental constraint‐linear scaling relationships.

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Publication Details

Journal
Angewandte Chemie
Published
2025-09-04
DOI
https://doi.org/10.1002/ange.202513102
Citations
1
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.36

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Dynamic Fe─F Coordination Triggered Structure‐Adaptive Fe–N–C for Efficient Oxygen Reduction Electrocatalysis

Lanlu Lu, Kai Li, Changpeng Liu, Minhua Shao et al.
1 citations
Angewandte Chemie
Electrocatalysts for Energy Conversion
0.36
article

Dynamic Fe─F Coordination Triggered Structure‐Adaptive Fe–N–C for Efficient Oxygen Reduction Electrocatalysis

Lanlu Lu, Kai Li, Changpeng Liu, Minhua Shao, Youze Zeng, Wei Xing, Wei Liu, Xue Wang, Meiling Xiao, Jianbing Zhu
article en
1 citations

Abstract

Abstract The sustainable and widespread developments of fuel cells require material innovation toward the sluggish oxygen reduction reaction (ORR). Although iron and nitrogen co‐doped carbon material (Fe–N–C) is a promising alternative to scarce and expensive platinum‐based electrocatalysts, the linear scaling relationships among the intermediates’ adsorption energy limit maximum performance. Herein, we propose a coordination‐adaptive catalyst design to bypass the intrinsic scaling relations through incorporating quasi‐covalent Fe─F bond. Operando experiments and theoretical calculations demonstrate that the cleavage of Fe‐F bond facilitates the activation of O 2 and the formation of OOH*, while the self‐healing of Fe─F bond regulates the binding strength with O* and OH*, thus breaking the OH*‐OOH*/O* scaling relations. As a result, the well‐designed F–Fe–N–C delivers a half‐wave potential ( E 1/2 ) of 0.91 V (versus RHE), along with significantly improved stability with only 2 mV loss in E 1/2 after 80,000 voltage cycles. When applied to the cathode of anion‐exchange membrane fuel cell, F–Fe–N–C exhibits high peak power density of 813 mW cm −2 under H 2 ‐air condition and achieves extremely high current (141 mA cm −2 at 0.9 V iR‐free ) in H 2 –O 2 condition. This work not only offers a promising ORR electrocatalyst but also provides a new strategy to circumvent the fundamental constraint‐linear scaling relationships.

Angewandte ChemieVol. 137(44)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Hong Kong University of Science and Technology (HK), Fuel Cells and Hydrogen (BE), Changchun Institute of Applied Chemistry (CN), Shanghai Advanced Research Institute (CN), Guangzhou HKUST Fok Ying Tung Research Institute (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 39%
Electrocatalysts for Energy Conversion
0.36
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