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Cited by 334

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Nitrogen Fixation Reaction Derived from Nanostructured Catalytic Materials

Wang, Shengyao, Ichihara, Fumihiko, Pang, Hong, Chen, Hao, Ye, Jinhua·2018·Advanced Functional Materials

Abstract

An efficient nitrogen fixation reaction is highly desirable for obtaining the essential chemicals and energy carriers but remains a challenge due to the strong nonpolar bonding and considerable activation barrier of the NN triple bond (bond energy 940.95 kJ mol−1). Using an appropriate nanostructured catalyst that strongly interacts with nitrogen could promote adsorption and activation, lowering the energy barrier of nitrogen fixation and thus resulting in a relatively mild reaction. In this article, the review of the recent progress in nanostructured catalytic materials for nitrogen fixation is presented, including a comprehensive introduction and discussion on the pathway and mechanism of nitrogen fixation reaction, the recent achievements of a variety of nanostructured catalysts, and the kinds of catalytic nitrogen fixation reactions they are used in. In addition, the challenges faced by the reaction, strategies of catalyst design, and outlooks for further improving the performance of nitrogen fixation are also highlighted.

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Crossref · 10.1002/adfm.201803309

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Metadata

Authors
Wang, S., Ichihara, F., Pang, H., Chen, H., & Ye, J.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2018-08-30
Volume
28
Issue
50
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2888829340
Cited by
334
References
119
FWCI
8.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nitrogen Fixation Reaction Derived from Nanostructured Catalytic Materials. https://app.cochat.ai/papers/10.1002/adfm.201803309
The paper
Wang, S., Ichihara, F., Pang, H., Chen, H., & Ye, J. (2018). Nitrogen Fixation Reaction Derived from Nanostructured Catalytic Materials. Advanced Functional Materials. https://doi.org/10.1002/adfm.201803309

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.