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Cited by 237

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Three-Dimensional Nanoporous Iron Nitride Film as an Efficient Electrocatalyst for Water Oxidation

Yu, Fang, Zhou, Haiqing, Zhu, Zhuan, Sun, Jingying, He, Ran, Bao, Jiming, Chen, Shuo, Ren, Zhifeng·2017·ACS Catalysis

Abstract

Exploring efficient and durable catalysts from earth-abundant and cost-effective materials is highly desirable for the sluggish anodic oxygen evolution reaction (OER), which plays a key role in water splitting, fuel cells, and rechargeable metal–air batteries. First-row transition-metal (Ni, Co, and Fe)-based compounds are promising candidates as OER catalysts to substitute the benchmark of noble-metal-based catalysts, such as IrO 2 and RuO 2 . Although Fe is the cheapest and one of the most abundant transition-metal elements, there are seldom papers reported on Fe-only compounds with outstanding catalytic OER activities. Here we propose an interesting strategy by growing iron nitride (Fe 3 N/Fe 4 N) based nanoporous film on three-dimensional (3D) highly conductive graphene/Ni foam, which is demonstrated to be a robust and durable self-supported 3D electrode for the OER featuring a very low overpotential of 238 mV to achieve a current density of 10 mA/cm 2, a small Tafel slope of 44.5 mV/dec, good stability, and 96.7% Faradaic yield. The high OER efficiency is by far one of the best for single-metal (Fe, Co, and Ni)-based catalysts, and even better than that of the benchmark IrO 2, which is attributed to the fast electron transfer, high surface area, and abundant active sites of the catalyst. This development introduces another member to the family of cost-effective and efficient OER catalysts.

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Research works printed but not linked: 30

  1. 10.1039/B800489G · DOI · Paper page
  2. 10.1021/cr1002326 · DOI · Paper page
  3. 10.1039/c3ee41572d · DOI · Paper page
  4. 10.1016/j.jelechem.2010.10.004 · DOI · Paper page
  5. 10.1126/science.1162018 · DOI · Paper page
  6. 10.1021/ja5082553 · DOI · Paper page
  7. 10.1021/ja4027715 · DOI · Paper page
  8. 10.1007/BF00615906 · DOI · Paper page
  9. 10.1021/nn503760c · DOI · Paper page
  10. 10.1016/j.nanoen.2014.11.021 · DOI · Paper page
  11. 10.1002/adfm.201400118 · DOI · Paper page
  12. 10.1002/anie.201306166 · DOI · Paper page
  13. 10.1021/jacs.5b00281 · DOI · Paper page
  14. 10.1039/C5TA10317G · DOI · Paper page
  15. 10.1002/adfm.201503666 · DOI · Paper page
  16. 10.1002/aenm.201502095 · DOI
  17. 10.1021/acs.chemmater.5b03404 · DOI · Paper page
  18. 10.1002/adfm.201303902 · DOI · Paper page
  19. 10.1088/1367-2630/12/7/073004 · doi:10.1088/1367-2630/12/7/073004
  20. 10.1016/j.nanoen.2015.12.008 · DOI · Paper page
  21. 10.1038/nmat3001 · DOI · Paper page
  22. 10.1038/ncomms12765 · DOI · Paper page
  23. 10.1021/ja072910n · DOI · Paper page
  24. 10.1039/C6EE01109H · DOI · Paper page
  25. 10.1088/0022-3727/42/18/185209 · doi:10.1088/0022-3727/42/18/185209
  26. 10.1016/j.nanoen.2014.11.025 · DOI · Paper page
  27. 10.1039/C5TA00078E · DOI · Paper page
  28. 10.1002/adfm.201505626 · DOI · Paper page
  29. 10.1002/anie.201506480 · DOI · Paper page
  30. 10.1021/acs.chemmater.5b02177 · DOI · Paper page

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Metadata

Authors
Yu, F., Zhou, H., Zhu, Z., Sun, J., He, R., Bao, J., Chen, S., & Ren, Z.
Venue
ACS Catalysis
Published
2017-02-14
Volume
7
Issue
3
Pages
2052-2057
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2585348187
Cited by
237
References
4
FWCI
7.97
Type
journal article
Language
en
Open access
closed
Funders
  • Welch Foundation (E-1728)
  • Defense Threat Reduction Agency (FA 7000-13-1-0001)
  • National Science Foundation (ECCS-1240510)

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Yu, F., Zhou, H., Zhu, Z., Sun, J., He, R., Bao, J., Chen, S., & Ren, Z. (2017). Three-Dimensional Nanoporous Iron Nitride Film as an Efficient Electrocatalyst for Water Oxidation. ACS Catalysis. https://doi.org/10.1021/acscatal.6b03132

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