The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Engineering Oxygen Vacancies in a Polysulfide‐Blocking Layer with Enhanced Catalytic Ability
Abstract
The practical application of the lithium–sulfur (Li–S) battery is seriously restricted by its shuttle effect, low conductivity, and low sulfur loading. Herein, first‐principles calculations are conducted to verify that the introduction of oxygen vacancies in TiO 2 not only enhances polysulfide adsorption but also greatly improves the catalytic ability and both the ion and electron conductivities. A commercial polypropylene (PP) separator decorated with TiO 2 nanosheets with oxygen vacancies (OVs‐TiO 2@PP) is fabricated as a strong polysulfide barrier for the Li–S battery. The thickness of the OVs‐TiO 2 modification layer is only 500 nm with a low areal mass of around 0.12 mg cm−2, which enhances the fast lithium‐ion penetration and the high energy density of the whole cell. As a result, the cell with the OVs‐TiO 2@PP separator exhibits a stable electrochemical behavior at 2.0 C over 500 cycles, even under a high sulfur loading of 7.1 mg cm−2, and an areal capacity of 5.83 mAh cm−2 remains after 100 cycles. The proposed strategy of engineering oxygen vacancies is expected to have wide applications in 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
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
A highly ordered nanostructured carbon–sulphur cathode for lithium–sulphur batteries
Ji, X., Lee, K. T., & Nazar, L. F. (2009) · Nature Materials · doi:10.1038/nmat2460 · Cited by 5,988
Nanostructured Metal Oxides and Sulfides for Lithium–Sulfur Batteries
Liu, X., Huang, J., Zhang, Q., & Mai, L. (2017) · Advanced Materials · doi:10.1002/adma.201601759 · Cited by 1,616
Self-citationMetal–organic framework-based separator for lithium–sulfur batteries
Bai, S., Liu, X., Zhu, K., Wu, S., & Zhou, H. (2016) · Nature Energy · doi:10.1038/nenergy.2016.94 · Cited by 1,333
Wan, J., Chen, W., Jia, C., Zheng, L., Dong, J., Zheng, X., Wang, Y., Yan, W., Chen, C., Peng, Q., et al. (2018) · Advanced Materials · doi:10.1002/adma.201705369 · Cited by 1,036
MoS2/Celgard Separator as Efficient Polysulfide Barrier for Long‐Life Lithium–Sulfur Batteries
Ghazi, Z. A., He, X., Khattak, A. M., Khan, N. A., Liang, B., Iqbal, A., Wang, J., Sin, H., Li, L., & Tang, Z. (2017) · Advanced Materials · doi:10.1002/adma.201606817 · Cited by 902
A Flexible Sulfur‐Graphene‐Polypropylene Separator Integrated Electrode for Advanced Li–S Batteries
Zhou, G., Li, L., Wang, D., Shan, X., Pei, S., Li, F., & Cheng, H. (2015) · Advanced Materials · doi:10.1002/adma.201404210 · Cited by 590
He, J., Chen, Y., & Manthiram, A. (2018) · Energy & Environmental Science · doi:10.1039/c8ee00893k · Cited by 565
Song, Y., Zhao, W., Kong, L., Zhang, L., Zhu, X., Shao, Y., Ding, F., Zhang, Q., Sun, J., & Liu, Z. (2018) · Energy & Environmental Science · doi:10.1039/c8ee01402g · Cited by 539
Chung, S., & Manthiram, A. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201400845 · Cited by 516
Cited by
Interface engineering toward stable lithium–sulfur batteries
Guo, Y., Niu, Q., Pei, F., Wang, Q., Zhang, Y., Du, L., Zhang, Y., Zhang, Y., Zhang, Y., Fan, L., et al. (2024) · Energy & Environmental Science · doi:10.1039/d3ee04183b · Cited by 322
Defect Engineering for Expediting Li–S Chemistry: Strategies, Mechanisms, and Perspectives
Shi, Z., Li, M., Sun, J., & Chen, Z. (2021) · Advanced Energy Materials · doi:10.1002/aenm.202100332 · Cited by 269
Metadata
- Authors
- Li, Z., Zhou, C., Hua, J., Hong, X., Sun, C., Li, H., Xu, X., & Mai, L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-01-29
- Volume
- 32
- Issue
- 10
- Pages
- e1907444-e1907444
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3003306947
- Cited by
- 292
- References
- 27
- FWCI
- 15.87
- 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 Oxygen Vacancies in a Polysulfide‐Blocking Layer with Enhanced Catalytic Ability. https://app.cochat.ai/papers/10.1002/adma.201907444
- The paper
- Li, Z., Zhou, C., Hua, J., Hong, X., Sun, C., Li, H., Xu, X., & Mai, L. (2020). Engineering Oxygen Vacancies in a Polysulfide‐Blocking Layer with Enhanced Catalytic Ability. Advanced Materials. https://doi.org/10.1002/adma.201907444
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.