The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Alloyed Co–Mo Nitride as High-Performance Electrocatalyst for Oxygen Reduction in Acidic Medium
Abstract
Exploring cheap and stable electrocatalysts to replace Pt for the oxygen reduction reaction (ORR) is now the key issue for the large-scale application of fuel cells. Herein, we report an alloyed Co–Mo nitride electrocatalyst supported on nitrogen-doped carbon nanocages (NCNCs) which combines the merits of cobalt nitride and molybdenum nitride, showing high activity comparable to that of cobalt nitride and progressively enhanced stability with the increase in the Mo ratio. The typical Co 0.5 Mo 0.5 N y /NCNCs catalyst demonstrates excellent ORR performance in acidic medium with a high onset potential of 808 mV vs RHE, superior stability (>80% retention after 100 h of continuous testing in 0.5 mol L –1 H 2 SO 4 ), a dominant four-electron catalytic process, and good immunity to methanol crossover. Together with the convenient and scalable preparation as well as the low cost, the alloyed Co–Mo nitride electrocatalyst shows great potential in application for fuel cells. This study also suggests a promising strategy to develop non-precious-metal ORR electrocatalysts in acidic medium: i.e., to construct the alloyed compounds by combining substances with respective high activity and high stability.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
High-Performance Electrocatalysts for Oxygen Reduction Derived from Polyaniline, Iron, and Cobalt
Wu, G., More, K. L., Johnston, C. M., & Zelenay, P. (2011) · Science · doi:10.1126/science.1200832 · Cited by 3,984
Highly Crystalline Multimetallic Nanoframes with Three-Dimensional Electrocatalytic Surfaces
Chen, C., Kang, Y., Huo, Z., Zhu, Z., Huang, W., Xin, H. L., Snyder, J. D., Li, D., Herron, J. A., Mavrikakis, M., et al. (2014) · Science · doi:10.1126/science.1249061 · Cited by 2,765
Self-citationWang, D., Xin, H. L., Hovden, R., Wang, H., Yu, Y., Muller, D. A., DiSalvo, F. J., & Abruña, H. D. (2013) · Nature Materials · doi:10.1038/nmat3458 · Cited by 2,082
Platinum-Based Oxygen Reduction Electrocatalysts
Wu, J., & Yang, H. (2013) · Accounts of Chemical Research · doi:10.1021/ar300359w · Cited by 1,050
Duan, J., Chen, S., Dai, S., & Qiao, S. Z. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201302940 · Cited by 300
Negro, E., Vezzù, K., Bertasi, F., Schiavuta, P., Toniolo, L., Polizzi, S., & Di Noto, V. (2014) · ChemElectroChem · doi:10.1002/celc.201402041 · Cited by 91
Negro, E., Polizzi, S., Vezzù, K., Toniolo, L., Cavinato, G., & Di Noto, V. (2014) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2013.08.053 · Cited by 62
Cited by
Recent Advances in Electrocatalysts for Oxygen Reduction Reaction
Shao, M., Chang, Q., Dodelet, J.-P., & Chenitz, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00462 · Cited by 3,903
Transition metal nitrides for electrochemical energy applications
Wang, H., Li, J., Li, K., Lin, Y., Chen, J., Gao, L., Nicolosi, V., Xiao, X., & Lee, J.-M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00415d · Cited by 983
He, Y., Hwang, S., Cullen, D. A., Uddin, M. A., Langhorst, L., Li, B., Karakalos, S., Kropf, A. J., Wegener, E. C., Sokolowski, J., et al. (2019) · Energy & Environmental Science · doi:10.1039/c8ee02694g · Cited by 868
Zhou, M., Wang, H.-L., & Guo, S. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00414d · Cited by 665
Zhu, Y., Chen, G., Xu, X., Yang, G., Liu, M., & Shao, Z. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b00120 · Cited by 363
Sun, T., Wang, J., Qiu, C., Ling, X., Tian, B., Chen, W., & Su, C. (2018) · Advanced Science · doi:10.1002/advs.201800036 · Cited by 287
Self-citationCheng, Q., Yang, L., Zou, L., Zou, Z., Chen, C., Hu, Z., & Yang, H. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b02326 · Cited by 286
Self-citationEmerging new generation electrocatalysts for the oxygen reduction reaction
Raj, C. R., Samanta, A., Noh, S. H., Mondal, S., Okajima, T., & Ohsaka, T. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta03300h · Cited by 201
Han, Y., Yin, S., Chen, Y., Chen, C., Yan, W., Cheng, X., Li, Y., Zhang, T., Yang, J., Jiang, Y., et al. (2022) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2022.116322 · Cited by 14
Self-citation
Metadata
- Authors
- Sun, T., Wu, Q., Che, R., Bu, Y., Jiang, Y., Li, Y., Yang, L., Wang, X., & Hu, Z.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-02-20
- Volume
- 5
- Issue
- 3
- Pages
- 1857-1862
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2314751540
- Cited by
- 189
- References
- 7
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.