The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Atomic Fe‐Doped MOF‐Derived Carbon Polyhedrons with High Active‐Center Density and Ultra‐High Performance toward PEM Fuel Cells
Abstract
A metalorganic gaseous doping approach for constructing nitrogen‐doped carbon polyhedron catalysts embedded with single Fe atoms is reported. The resulting catalysts are characterized using scanning transmission electron microscopy, X‐ray photoelectron spectroscopy, and X‐ray absorption spectroscopy; for the optimal sample, calculated densities of Fe–Nx sites and active N sites reach 1.75812 × 10 13 and 1.93693 × 10 14 sites cm‐2, respectively. Its oxygen reduction reaction half‐wave potential (0.864 V) is 50 mV higher than that of 20 wt% Pt/C catalyst in an alkaline medium and comparable to the latter (0.78 V vs 0.84 V) in an acidic medium, along with outstanding durability. More importantly, when used as a hydrogen–oxygen polymer electrolyte membrane fuel cell (PEMFC) cathode catalyst with a catalyst loading as low as 1 mg cm‐2 (compared with a conventional loading of 4 mg cm‐2), it exhibits a current density of 1100 mA cm‐2 at 0.6 V and 637 mA cm‐2 at 0.7 V, with a power density of 775 mW cm‐2, or 0.775 kW g–1 of catalyst. In a hydrogen–air PEMFC, current density reaches 650 mA cm‐2 at 0.6 V and 350 mA cm‐2 at 0.7 V, and the maximum power density is 463 mW cm‐2, which makes it a promising candidate for cathode catalyst toward high‐performance PEMFCs.
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
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
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
Cited by
Single atom electrocatalysts supported on graphene or graphene-like carbons
Fei, H., Dong, J., Chen, D., Hu, T., Duan, X., Shakir, I., Huang, Y., & Duan, X. (2019) · Chemical Society Reviews · doi:10.1039/c9cs00422j · Cited by 673
Cui, T., Wang, Y., Ye, T., Wu, J., Chen, Z., Li, J., Lei, Y., Wang, D., & Li, Y. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202115219 · Cited by 659
Self-citationWang, P., Ren, Y., Wang, R., Zhang, P., Ding, M., Li, C., Zhao, D., Qian, Z., Zhang, Z., Zhang, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15416-4 · Cited by 394
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
Mohanty, B., Bhanja, P., & Jena, B. K. (2022) · Materials Today Energy · doi:10.1016/j.mtener.2021.100902 · Cited by 88
Metadata
- Authors
- Deng, Y., Chi, B., Li, J., Wang, G., Zheng, L., Shi, X., Cui, Z., Du, L., Liao, S., Zang, K., Luo, J., Hu, Y., & Sun, X.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2019-02-14
- Volume
- 9
- Issue
- 13
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2911233382
- Cited by
- 238
- References
- 2
- FWCI
- 8.66
- 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: Atomic Fe‐Doped MOF‐Derived Carbon Polyhedrons with High Active‐Center Density and Ultra‐High Performance toward PEM Fuel Cells. https://app.cochat.ai/papers/10.1002/aenm.201802856
- The paper
- Deng, Y., Chi, B., Li, J., Wang, G., Zheng, L., Shi, X., Cui, Z., Du, L., Liao, S., Zang, K., Luo, J., Hu, Y., & Sun, X. (2019). Atomic Fe‐Doped MOF‐Derived Carbon Polyhedrons with High Active‐Center Density and Ultra‐High Performance toward PEM Fuel Cells. Advanced Energy Materials. https://doi.org/10.1002/aenm.201802856
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.