The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Engineering Fe–N Coordination Structures for Fast Redox Conversion in Lithium–Sulfur Batteries
Abstract
Critical drawbacks, including sluggish redox kinetics and undesirable shuttling of polysulfides (Li 2 Sn, n = 4–8), seriously deteriorate the electrochemical performance of high‐energy‐density lithium–sulfur (Li–S) batteries. Herein, these challenges are addressed by constructing an integrated catalyst with dual active sites, where single‐atom (SA)‐Fe and polar Fe 2 N are co‐embedded in nitrogen‐doped graphene (SA‐Fe/Fe 2 N@NG). The SA‐Fe, with plane‐symmetric Fe‐4N coordination, and Fe 2 N, with triangular pyramidal Fe‐3N coordination, in this well‐designed configuration exhibit synergistic adsorption of polysulfides and catalytic selectivity for Li 2 Sn lithiation and Li 2 S delithiation, respectively. These characteristics endow the SA‐Fe/Fe 2 N@NG‐modified separator with an optimal polysulfides confinement–catalysis ability, thus accelerating the bidirectional liquid–solid conversion (Li 2 Sn↔Li 2 S) and suppressing the shuttle effect. Consequently, a Li–S battery based on the SA‐Fe/Fe 2 N@NG separator achieves a high capacity retention of 84.1% over 500 cycles at 1 C (pure S cathode, S content: 70 wt%) and a high areal capacity of 5.02 mAh cm−2 at 0.1 C (SA‐Fe/Fe 2 N@NG‐supported S cathode, S loading = 5 mg cm−2). It is expected that the outcomes of the present study will facilitate the design of high‐efficiency catalysts for long‐lasting Li–S batteries.
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
ATHENA,ARTEMIS,HEPHAESTUS: data analysis for X-ray absorption spectroscopy using IFEFFIT
Ravel, B., & Newville, M. (2005) · Journal of Synchrotron Radiation · doi:10.1107/s0909049505012719 · Cited by 16,965
Li-O2 and Li-S batteries with high energy storage
Bruce, P. G., Freunberger, S. A., Hardwick, L. J., & Tarascon, J.-M. (2012) · Nature Materials · doi:10.1038/nmat3191 · Cited by 9,479
Rechargeable Lithium–Sulfur Batteries
Manthiram, A., Fu, Y., Chung, S.-H., Zu, C., & Su, Y.-S. (2014) · Chemical Reviews · doi:10.1021/cr500062v · Cited by 4,665
Challenges and Prospects of Lithium–Sulfur Batteries
Manthiram, A., Fu, Y., & Su, Y.-S. (2013) · Accounts of Chemical Research · doi:10.1021/ar300179v · Cited by 2,380
Advances in lithium–sulfur batteries based on multifunctional cathodes and electrolytes
Pang, Q., Liang, X., Kwok, C. Y., & Nazar, L. F. (2016) · Nature Energy · doi:10.1038/nenergy.2016.132 · Cited by 2,167
Jiang, W.-J., Gu, L., Li, L., Zhang, Y., Zhang, X., Zhang, L.-J., Wang, J.-Q., Hu, J.-S., Wei, Z., & Wan, L.-J. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b00757 · Cited by 1,765
Self-citationDu, Z., Chen, X., Hu, W., Chuang, C., Xie, S., Hu, A., Yan, W., Kong, X., Wu, X., Ji, H., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b12973 · Cited by 1,490
Catalytic oxidation of Li 2 S on the surface of metal sulfides for Li−S batteries
Zhou, G., Tian, H., Jin, Y., Tao, X., Liu, B., Zhang, R., Seh, Z. W., Zhuo, D., Liu, Y., Sun, J., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615837114 · Cited by 1,278
Ramaswamy, N., Tylus, U., Jia, Q., & Mukerjee, S. (2013) · Journal of the American Chemical Society · doi:10.1021/ja405149m · Cited by 882
Jiao, L., Wan, G., Zhang, R., Zhou, H., Yu, S., & Jiang, H. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201803262 · Cited by 860
Metadata
- Authors
- Ma, C., Zhang, Y., Feng, Y., Wang, N., Zhou, L., Liang, C., Chen, L., Lai, Y., Ji, X., Yan, C., & Wei, W.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-06-19
- Volume
- 33
- Issue
- 30
- Pages
- e2100171-e2100171
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3168645508
- Cited by
- 268
- References
- 41
- FWCI
- 15.12
- 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: Engineering Fe–N Coordination Structures for Fast Redox Conversion in Lithium–Sulfur Batteries. https://app.cochat.ai/papers/10.1002/adma.202100171
- The paper
- Ma, C., Zhang, Y., Feng, Y., Wang, N., Zhou, L., Liang, C., Chen, L., Lai, Y., Ji, X., Yan, C., & Wei, W. (2021). Engineering Fe–N Coordination Structures for Fast Redox Conversion in Lithium–Sulfur Batteries. Advanced Materials. https://doi.org/10.1002/adma.202100171
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.