The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Atomically Dispersed Fe‐Nx/C Electrocatalyst Boosts Oxygen Catalysis via a New Metal‐Organic Polymer Supramolecule Strategy
Abstract
The development of high‐performance oxygen reduction reaction (ORR) catalysts derived from non‐Pt group metals (non‐PGMs) is urgent for the wide applications of proton exchange membrane fuel cells (PEMFCs). In this work, a facile and cost‐efficient supramolecular route is developed for making non‐PGM ORR catalyst with atomically dispersed Fe‐Nx/C sites through pyrolyzing the metal‐organic polymer coordinative hydrogel formed between Fe 3+ and α‐L‐guluronate blocks of sodium alginate (SA). High‐angle annular dark field scanning transmission electron microscopy (HAADF‐STEM) and X‐ray absorption spectroscopy (XAS) verify that Fe atoms achieve atomic‐level dispersion on the obtained SA‐Fe‐N nanosheets and a possible fourfold coordination with N atoms. The best‐performing SA‐Fe‐N catalyst exhibits excellent ORR activity with half‐wave potential (E1/2) of 0.812 and 0.910 V versus the reversible hydrogen electrode (RHE) in 0.5 m H 2 SO 4 and 0.1 m KOH, respectively, along with respectable durability. Such performance surpasses that of most reported non‐PGM ORR catalysts. Density functional theory calculations suggest that the relieved passivation effect of OH* on Fe‐N 4/C structure leads to its superior ORR activity to Pt/C in alkaline solution. The work demonstrates a novel strategy for developing high‐performance non‐PGM ORR electrocatalysts with atomically dispersed and stable M‐Nx coordination sites in both acidic and alkaline media.
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
Recent advancements in Pt and Pt-free catalysts for oxygen reduction reaction
Nie, Y., Li, L., & Wei, Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00484a · Cited by 2,156
Toward the rational design of non-precious transition metal oxides for oxygen electrocatalysis
Hong, W. T., Risch, M., Stoerzinger, K. A., Grimaud, A., Suntivich, J., & Shao-Horn, Y. (2015) · Energy & Environmental Science · doi:10.1039/c4ee03869j · Cited by 2,089
Wang, Y.-J., Zhao, N., Fang, B., Li, H., Bi, X. T., & Wang, H. (2015) · Chemical Reviews · doi:10.1021/cr500519c · Cited by 1,267
New Approach to Fully Ordered fct-FePt Nanoparticles for Much Enhanced Electrocatalysis in Acid
Li, Q., Wu, L., Wu, G., Su, D., Lv, H., Zhang, S., Zhu, W., Casimir, A., Zhu, H., Mendoza-Garcia, A., et al. (2015) · Nano Letters · doi:10.1021/acs.nanolett.5b00320 · Cited by 460
Self-citation
Cited by
Wang, X. X., Swihart, M. T., & Wu, G. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0304-9 · Cited by 1,174
Self-citationEmerging Dual‐Atomic‐Site Catalysts for Efficient Energy Catalysis
Zhang, W., Chao, Y., Zhang, W., Zhou, J., Lv, F., Wang, K., Lin, F., Luo, H., Li, J., Tong, M., et al. (2021) · Advanced Materials · doi:10.1002/adma.202102576 · Cited by 528
Self-citationShen, M., Hu, W., Duan, C., Li, J., Ding, S., Zhang, L., Zhu, J., & Ni, Y. (2023) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2022.09.035 · Cited by 67
Metadata
- Authors
- Miao, Z., Wang, X., Tsai, M., Jin, Q., Liang, J., Ma, F., Wang, T., Zheng, S., Hwang, B., Huang, Y., Guo, S., & Li, Q.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2018-07-05
- Volume
- 8
- Issue
- 24
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2863026322
- Cited by
- 256
- References
- 5
- FWCI
- 8.26
- 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: Atomically Dispersed Fe‐Nx/C Electrocatalyst Boosts Oxygen Catalysis via a New Metal‐Organic Polymer Supramolecule Strategy. https://app.cochat.ai/papers/10.1002/aenm.201801226
- The paper
- Miao, Z., Wang, X., Tsai, M., Jin, Q., Liang, J., Ma, F., Wang, T., Zheng, S., Hwang, B., Huang, Y., Guo, S., & Li, Q. (2018). Atomically Dispersed Fe‐Nx/C Electrocatalyst Boosts Oxygen Catalysis via a New Metal‐Organic Polymer Supramolecule Strategy. Advanced Energy Materials. https://doi.org/10.1002/aenm.201801226
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.