The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Boosting Oxygen Reduction Catalysis with Fe–N4 Sites Decorated Porous Carbons toward Fuel Cells
Abstract
It is highly desired but remains a great challenge to develop nonprecious metal single-atom catalysts to supersede the Pt-based material for oxygen reduction reaction (ORR). Herein, we report a porous nitrogen-doped carbon matrix catalyst with 3.5 wt % single Fe atoms (Fe SAs/N–C) through a versatile molecules-confined pyrolysis strategy. In 0.1 M KOH condition, the Fe SAs/N–C catalyst possesses a half-wave potential of 0.91 V vs RHE. In a more challenging acidic solution, Fe SAs/N–C catalyst also offers good ORR activity, comparable with the commercial Pt/C. Impressively, Fe SAs/N–C shows extremely high stability both in alkaline and acidic media. In addition, this Fe SAs/N–C-derived Zn–air battery and proton exchange membrane fuel cells (PEMFCs) exhibit high performance. This work opens an avenue for designing and preparing single-atom catalysts.
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
Ultrafine jagged platinum nanowires enable ultrahigh mass activity for the oxygen reduction reaction
Li, M., Zhao, Z., Cheng, T., Fortunelli, A., Chen, C.-Y., Yu, R., Zhang, Q., Gu, L., Merinov, B. V., Lin, Z., et al. (2016) · Science · doi:10.1126/science.aaf9050 · Cited by 1,605
Cui, C., Gan, L., Li, H.-H., Yu, S.-H., Heggen, M., & Strasser, P. (2012) · Nano Letters · doi:10.1021/nl3032795 · Cited by 556
Cited by
Metal‐Nitrogen‐Doped Carbon Materials as Highly Efficient Catalysts: Progress and Rational Design
Shi, Z., Yang, W., Gu, Y., Liao, T., & Sun, Z. (2020) · Advanced Science · doi:10.1002/advs.202001069 · Cited by 470
Chen, G., Liu, P., Liao, Z., Sun, F., He, Y., Zhong, H., Zhang, T., Zschech, E., Chen, M., Wu, G., et al. (2020) · Advanced Materials · doi:10.1002/adma.201907399 · Cited by 432
Cobalt single atom site isolated Pt nanoparticles for efficient ORR and HER in acid media
Liang, L., Jin, H., Zhou, H., Liu, B., Hu, C., Chen, D., Wang, Z., Hu, Z., Zhao, Y., Li, H.-W., et al. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.106221 · Cited by 360
Ao, X., Zhang, W., Zhao, B., Ding, Y., Nam, G., Soule, L., Abdelhafiz, A., Wang, C., & Liu, M. (2020) · Energy & Environmental Science · doi:10.1039/d0ee00832j · Cited by 330
Metadata
- Authors
- Yang, Z., Wang, Y., Zhu, M., Li, Z., Chen, W., Wei, W., Yuan, T., Qu, Y., Xu, Q., Zhao, C., Wang, X., Li, P., Li, Y., Wu, Y., & Li, Y.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-01-24
- Volume
- 9
- Issue
- 3
- Pages
- 2158-2163
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2912620922
- Cited by
- 374
- References
- 2
- FWCI
- 12.32
- 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.
