Biological Neural Network-Inspired Micro/Nano-Fibrous Carbon Aerogel for Coupling Fe Atomic Clusters With Fe-N4 Single Atoms to Enhance Oxygen Reduction Reaction

IF 13 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Small Pub Date : 2025-03-05 DOI:10.1002/smll.202500419
Jiaojiao Sun, Mengxia Shen, A-jun Chang, Shiqiang Cui, Huijuan Xiu, Pengbo Wang, Xia Li, Yonghao Ni
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Abstract

Nitrogen-coordinated metal single atoms catalysts, especially with M-N4 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 D4h symmetry configuration in M-N4, 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-N4 single atoms (Fe SAs) coupled with Fe atomic clusters (Fe ACs) active sites, which are anchored onto chitosan microfibers/nanofibers-based carbon aerogel (CMNCA-FeSA+AC) 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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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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