The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Boosting the bifunctional oxygen electrocatalytic performance of atomically dispersed Fe site via atomic Ni neighboring
Abstract
Abstract Atomically dispersed metal-nitrogen-carbon complexes on carbon supports have drawn tremendous attention in the electrocatalysis fields. Herein, we managed the synthesis of atomically dispersed binary NixFe100-x-NC (x = 0–100) materials with tunable Ni/Fe ratios and investigated their underneath synergy effects for the enhancement of oxygen reduction (ORR) and oxygen evolution reactions (OER). EXAFS revealed the abundant presence of Ni(N3)-Fe(N3)-Cn moieties in Ni66Fe34-NC sample. XPS fine scans indicated deep synergy of dual-site Ni/Fe that favored more charge localized over Ni/Fe sites. Electrochemical measurments showed that the Ni66Fe34-NC delivered a very high ORR half-wave potential (E1/2) of 0.85 V and a low OER overpotential of 467 mV at ∼10 mA cm−2 (Ej=10). The Fe site with Ni neighboring, as suggested by DFT simulations and in-situ Raman, was the responsible site for both ORR and OER. Furthermore, the Ni66Fe34-NC-assembled Zn-air battery afforded large specific power density and extraordinary cycling 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
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07882-8 · Cited by 8,162
Structural absorption by barbule microstructures of super black bird of paradise feathers
McCoy, D. E., Feo, T., Harvey, T. A., & Prum, R. O. (2018) · Nature Communications · doi:10.1038/s41467-017-02088-w · Cited by 7,424
Universality in Oxygen Evolution Electrocatalysis on Oxide Surfaces
Man, I. C., Su, H., Calle‐Vallejo, F., Hansen, H. A., Martínez, J. I., Inoglu, N. G., Kitchin, J., Jaramillo, T. F., Nørskov, J. K., & Rossmeisl, J. (2011) · ChemCatChem · doi:10.1002/cctc.201000397 · Cited by 4,769
The role of hydrogen and fuel cells in the global energy system
Staffell, I., Scamman, D., Velazquez Abad, A., Balcombe, P., Dodds, P. E., Ekins, P., Shah, N., & Ward, K. R. (2019) · Energy & Environmental Science · doi:10.1039/c8ee01157e · Cited by 4,187
Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
Yang, H. B., Hung, S.-F., Liu, S., Yuan, K., Miao, S., Zhang, L., Huang, X., Wang, H.-Y., Cai, W., Chen, R., et al. (2018) · Nature Energy · doi:10.1038/s41560-017-0078-8 · Cited by 2,239
Qiu, H. ‐., Ito, Y., Cong, W., Tan, Y., Liu, P., Hirata, A., Fujita, T., Tang, Z., & Chen, M. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201507381 · Cited by 756
Wu, G., Santandreu, A., Kellogg, W., Gupta, S., Ogoke, O., Zhang, H., Wang, H.-L., & Dai, L. (2016) · Nano Energy · doi:10.1016/j.nanoen.2015.12.032 · Cited by 744
Zhang, C., Sha, J., Fei, H., Liu, M., Yazdi, S., Zhang, J., Zhong, Q., Zou, X., Zhao, N., Yu, H., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b02148 · Cited by 545
Pu, Z., Zhao, J., Amiinu, I. S., Li, W., Wang, M., He, D., & Mu, S. (2019) · Energy & Environmental Science · doi:10.1039/c9ee00197b · Cited by 484
Metadata
- Authors
- Ma, M., Kumar, A., Wang, D., Wang, Y., Jia, Y., Zhang, Y., Zhang, G., Yan, Z., & Sun, X.
- Venue
- Applied Catalysis B: Environmental
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 274
- Pages
- 119091
- ISSN
- 0926-3373 (ISSN-L)
- OpenAlex
- W3022680903
- Cited by
- 210
- References
- 12
- FWCI
- 5.93
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Boosting the bifunctional oxygen electrocatalytic performance of atomically dispersed Fe site via atomic Ni neighboring. https://app.cochat.ai/papers/10.1016/j.apcatb.2020.119091
- The paper
- Ma, M., Kumar, A., Wang, D., Wang, Y., Jia, Y., Zhang, Y., Zhang, G., Yan, Z., & Sun, X. (2020). Boosting the bifunctional oxygen electrocatalytic performance of atomically dispersed Fe site via atomic Ni neighboring. Applied Catalysis B: Environmental. https://doi.org/10.1016/j.apcatb.2020.119091
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.