Biological Neural Network‐Inspired Micro/Nano‐Fibrous Carbon Aerogel for Coupling Fe Atomic Clusters With Fe‐N <sub>4</sub> Single Atoms to Enhance Oxygen Reduction Reaction

Nitrogen-coordinated metal single atoms catalysts, especially with M-N<sub>4</sub> configuration confined within the carbon matrix, emerge as a frontier of electrocatalytic research for enhancing the sluggish kinetics of oxygen reduction reaction (ORR). Nevertheless, due to the highly planar D<sub>4h</sub> symmetry configuration in M-N<sub>4</sub>, their adsorption behavior toward oxygen intermediates is limited, undesirably elevating the energy barriers associated with ORR. Moreover, the structural engineering of the carbon substrate also poses significant challenges. Herein, inspired by the biological neural network (BNN), a reticular nervous system for high-speed signal processing and transmitting, a comprehensive structural biomimetic strategy is proposed for tailoring Fe-N<sub>4</sub> single atoms (Fe SAs) coupled with Fe atomic clusters (Fe ACs) active sites, which are anchored onto chitosan microfibers/nanofibers-based carbon aerogel (CMNCA-Fe<sub>SA+AC</sub>) with continuous conductive channels and an oriented porous architecture. Theoretical analysis reveals the synergistic effect of Fe SAs and Fe ACs for optimizing their electronic structures and expediting the ORR. The ingenious biomimetic strategy will shed light on the topology engineering and structural optimization of efficient electrocatalysts for advanced electrochemical energy conversion devices.

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Publication Details

Journal
Small
Published
2025-03-05
DOI
https://doi.org/10.1002/smll.202500419
Citations
14
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
5.09

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article

Biological Neural Network‐Inspired Micro/Nano‐Fibrous Carbon Aerogel for Coupling Fe Atomic Clusters With Fe‐N 4 Single Atoms to Enhance Oxygen Reduction Reaction

Huijuan Xiu, Mengxia Shen, A. Jun Chang, Shiqiang Cui et al.
14 citations
Small
Electrocatalysts for Energy Conversion
5.09
article

Biological Neural Network‐Inspired Micro/Nano‐Fibrous Carbon Aerogel for Coupling Fe Atomic Clusters With Fe‐N 4 Single Atoms to Enhance Oxygen Reduction Reaction

Huijuan Xiu, Mengxia Shen, A. Jun Chang, Shiqiang Cui, Pengbo Wang, Jiaojiao Sun, Yonghao Ni, Xia Li
article en
14 citations

Abstract

Nitrogen-coordinated metal single atoms catalysts, especially with M-N<sub>4</sub> configuration confined within the carbon matrix, emerge as a frontier of electrocatalytic research for enhancing the sluggish kinetics of oxygen reduction reaction (ORR). Nevertheless, due to the highly planar D<sub>4h</sub> symmetry configuration in M-N<sub>4</sub>, their adsorption behavior toward oxygen intermediates is limited, undesirably elevating the energy barriers associated with ORR. Moreover, the structural engineering of the carbon substrate also poses significant challenges. Herein, inspired by the biological neural network (BNN), a reticular nervous system for high-speed signal processing and transmitting, a comprehensive structural biomimetic strategy is proposed for tailoring Fe-N<sub>4</sub> single atoms (Fe SAs) coupled with Fe atomic clusters (Fe ACs) active sites, which are anchored onto chitosan microfibers/nanofibers-based carbon aerogel (CMNCA-Fe<sub>SA+AC</sub>) with continuous conductive channels and an oriented porous architecture. Theoretical analysis reveals the synergistic effect of Fe SAs and Fe ACs for optimizing their electronic structures and expediting the ORR. The ingenious biomimetic strategy will shed light on the topology engineering and structural optimization of efficient electrocatalysts for advanced electrochemical energy conversion devices.

SmallVol. 21(15)
University of New Brunswick (CA), Qilu University of Technology (CN), Hong Kong University of Science and Technology (HK), Shandong Academy of Sciences (CN), Shaanxi University of Science and Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Shaanxi Province Postdoctoral Science Foundation, Key Research and Development Projects of Shaanxi Province
Affordable and clean energy
Openalex Percentile: Top 4%
Electrocatalysts for Energy Conversion
5.09
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