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Cited by 290

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Metal and Nonmetal Codoped 3D Nanoporous Graphene for Efficient Bifunctional Electrocatalysis and Rechargeable Zn–Air Batteries

Qiu, Hua‐Jun, Du, Peng, Hu, Kailong, Gao, Jiaojiao, Li, Huanglong, Liu, Pan, Ina, Toshiaki, Ohara, Koji, Ito, Yoshikazu, Chen, Mingwei·2019·Advanced Materials

Abstract

Developing bifunctional electrocatalysts with high activities and long durability for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is crucial toward the practical implementation of rechargeable metal–air batteries. Here, a 3D nanoporous graphene (np‐graphene) doped with both N and Ni single atoms/clusters is reported. The predoping of N by chemical vapor deposition (CVD) dramatically increases the Ni doping amount and stability. The resulting N and Ni codoped np‐graphene has excellent electrocatalytic activities for both the ORR and the OER in alkaline aqueous solutions. The synergetic effects of N and Ni dopants are revealed by density functional theory calculations. The free‐standing Ni,N codoped 3D np‐graphene shows great potential as an economical catalyst/electrode for metal–air batteries.

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Metadata

Authors
Qiu, H., Du, P., Hu, K., Gao, J., Li, H., Liu, P., Ina, T., Ohara, K., Ito, Y., & Chen, M.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-03-28
Volume
31
Issue
19
Pages
e1900843-e1900843
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2931615154
Cited by
290
References
6
FWCI
10.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal and Nonmetal Codoped 3D Nanoporous Graphene for Efficient Bifunctional Electrocatalysis and Rechargeable Zn–Air Batteries. https://app.cochat.ai/papers/10.1002/adma.201900843
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Qiu, H., Du, P., Hu, K., Gao, J., Li, H., Liu, P., Ina, T., Ohara, K., Ito, Y., & Chen, M. (2019). Metal and Nonmetal Codoped 3D Nanoporous Graphene for Efficient Bifunctional Electrocatalysis and Rechargeable Zn–Air Batteries. Advanced Materials. https://doi.org/10.1002/adma.201900843

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