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Identification of catalytic sites for oxygen reduction and oxygen evolution in N-doped graphene materials: Development of highly efficient metal-free bifunctional electrocatalyst
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Doping of graphene with nitrogen imparted bifunctional electrocatalytic activities for efficient energy conversion and storage.
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Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
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Self-citationOxygen Evolution Reaction in Alkaline Environment: Material Challenges and Solutions
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Metadata
- Authors
- Yang, H. B., Miao, J., Hung, S.-F., Chen, J., Tao, H. B., Wang, X., Zhang, L., Chen, R., Gao, J., Chen, H. M., Dai, L., & Liu, B.
- Venue
- Science Advances
- Published
- 2016-04
- Volume
- 2
- Issue
- 4
- Pages
- e1501122-e1501122
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2338271276
- Cited by
- 1,333
- References
- 10
- FWCI
- 44.52
- Type
- journal article
- Language
- en
- Open access
- gold
- Funders
- Nanyang Technological University (ID0EN4DI6226, M4080977.120)
- Ministry of Education - Singapore (ID0EHCAK6227, M4011021.120)
- National Research Foundation-Prime Minister’s office, Republic of Singapore (ID0EAHAK6228)
- Air Force Office of Scientific Research (ID0EXLAK6229, FA-9550-12-1-0037)
- National Science Foundation (ID0EYQAK6230, CMMI-1400274)
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- CoChat. (2026). Citation check: Identification of catalytic sites for oxygen reduction and oxygen evolution in N-doped graphene materials: Development of highly efficient metal-free bifunctional electrocatalyst. https://app.cochat.ai/papers/10.1126/sciadv.1501122
- The paper
- Yang, H. B., Miao, J., Hung, S.-F., Chen, J., Tao, H. B., Wang, X., Zhang, L., Chen, R., Gao, J., Chen, H. M., Dai, L., & Liu, B. (2016). Identification of catalytic sites for oxygen reduction and oxygen evolution in N-doped graphene materials: Development of highly efficient metal-free bifunctional electrocatalyst. Science Advances. https://doi.org/10.1126/sciadv.1501122
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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.
