The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Synergetic Contribution of Boron and Fe–Nx Species in Porous Carbons toward Efficient Electrocatalysts for Oxygen Reduction Reaction
Abstract
The development of porous carbon materials as highly efficient, durable, and economic electrocatalysts for oxygen reduction reaction (ORR) is of great importance for realizing practical applications of many significant energy conversion and storage devices. Herein, we demonstrate a general approach to porous carbons decorated with boron centers and atomically dispersed Fe–N x species (denoted as FeBNC). The as-prepared FeBNC can serve as efficient electrocatalysts for ORR in an alkaline medium with a half-wave potential of 0.838 V vs RHE, comparable to that of the state-of-the-art porous carbon catalysts and the benchmark system Pt/C. Theoretical calculation reveals that incorporation of boron dopant into traditional Fe–N x species-enriched porous carbons significantly lowers the energy barrier for oxygen reduction and therefore boosts the overall performance. This work not only provides an easy method to synthesize B-doped Fe–N x centers-enriched porous carbons as highly efficient electrocatalysts for ORR and Zn-air batteries but also proves the origin of the catalytic performance from both B dopants and Fe–N x sites.
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 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
Hydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236
Self-citationCarbon-based electrocatalysts for advanced energy conversion and storage
Zhang, J., Xia, Z., & Dai, L. (2015) · Science Advances · doi:10.1126/sciadv.1500564 · Cited by 735
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
Hu, C., Song, E., Wang, M., Chen, W., Huang, F., Feng, Z., Liu, J., & Wang, J. (2021) · Advanced Science · doi:10.1002/advs.202001881 · Cited by 144
Kang, Y., Tang, Y., Zhu, L., Jiang, B., Xu, X., Guselnikova, O., Li, H., Asahi, T., & Yamauchi, Y. (2022) · ACS Catalysis · doi:10.1021/acscatal.2c03480 · Cited by 107
Ding, J., Wu, D., Zhu, J., Huang, S., Rodríguez-Hernández, F., Chen, Y., Lu, C., Zhou, S., Zhang, J., Tranca, D., et al. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.131320 · Cited by 25
Self-citation
Metadata
- Authors
- Yuan, K., Sfaelou, S., Qiu, M., Lützenkirchen-Hecht, D., Zhuang, X., Chen, Y., Yuan, C., Feng, X., & Scherf, U.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-12-28
- Volume
- 3
- Issue
- 1
- Pages
- 252-260
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W2778748326
- Cited by
- 311
- References
- 4
- FWCI
- 8.61
- 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: Synergetic Contribution of Boron and Fe–Nx Species in Porous Carbons toward Efficient Electrocatalysts for Oxygen Reduction Reaction. https://app.cochat.ai/papers/10.1021/acsenergylett.7b01188
- The paper
- Yuan, K., Sfaelou, S., Qiu, M., Lützenkirchen-Hecht, D., Zhuang, X., Chen, Y., Yuan, C., Feng, X., & Scherf, U. (2018). Synergetic Contribution of Boron and Fe–Nx Species in Porous Carbons toward Efficient Electrocatalysts for Oxygen Reduction Reaction. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.7b01188
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.