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Carbon Energy
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Carbon Energy
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Carbon Energy
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Controllable synthesis of Fe–N4 species for acidic oxygen reduction

Authors: Yi Jia; Yu-Cheng Huang; Kang Wang; Kang Wang; Xiangdong Yao; Xuecheng Yan; Zhao Jin; +2 Authors

Controllable synthesis of Fe–N4 species for acidic oxygen reduction

Abstract

AbstractControllable design and synthesis of catalysts with the target active sites are extremely important for their applications such as for the oxygen reduction reaction (ORR) in fuel cells. However, the controllably synthesizing electrocatalysts with a single type of active site still remains a grand challenge. In this study, we developed a facile and scalable method for fabricating highly efficient ORR electrocatalysts with sole atomic Fe–N4 species as the active site. Herein, the use of cost‐effective highly porous carbon as the support not only could avoid the aggregation of the atomic Fe species but also a feasible approach to reduce the catalyst cost. The obtained atomic Fe–N4 in activated carbon (aFe@AC) shows excellent ORR activity. Its half‐wave potential is 59 mV more negative but 47 mV more positive than that of the commercial Pt/C in acidic and alkaline electrolytes, respectively. The full cell performance test results show that the aFe@AC sample is a promising candidate for direct methanol fuel cells. This study provides a general method to prepare catalysts with a certain type of active site and definite numbers.

Countries
Australia, Taiwan
Related Organizations
Keywords

oxygen reduction reaction, TK1001-1841, atomic Fe–N4 site, fuel cells, 540, 620, controllable synthesis, Production of electric energy or power. Powerplants. Central stations, Nanotechnology, atomic Fe–N4 site;controllable synthesis;fuel cells;oxygen reduction reaction

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    48
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 1%
Top 10%
Top 1%
Green
gold