The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sulfur Vapor-Infiltrated 3D Carbon Nanotube Foam for Binder-Free High Areal Capacity Lithium–Sulfur Battery Composite Cathodes
Abstract
Here, we demonstrate a strategy to produce high areal loading and areal capacity sulfur cathodes by using vapor-phase infiltration of low-density carbon nanotube (CNT) foams preformed by solution processing and freeze-drying. Vapor-phase capillary infiltration of sulfur into preformed and binder-free low-density CNT foams leads to a mass loading of ∼79 wt % arising from interior filling and coating of CNTs with sulfur while preserving conductive CNT–CNT junctions that sustain electrical accessibility through the thick foam. Sulfur cathodes are then produced by mechanically compressing these foams into dense composites (ρ > 0.2 g/cm 3 ), revealing specific capacity of 1039 mAh/g S at 0.1 C, high sulfur areal loading of 19.1 mg/cm 2, and high areal capacity of 19.3 mAh/cm 2 . This work highlights a technique broadly adaptable to a diverse group of nanostructured building blocks where preformed low-density materials can be vapor infiltrated with sulfur, mechanically compressed, and exhibit simultaneous high areal and gravimetric storage properties. This provides a route for scalable, low-cost, and high-energy density sulfur cathodes based on conventional solid electrode processing routes.
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
Cited by
Current Status and Future Prospects of Metal–Sulfur Batteries
Chung, S., & Manthiram, A. (2019) · Advanced Materials · doi:10.1002/adma.201901125 · Cited by 622
Rao, R., Pint, C. L., Islam, A. E., Weatherup, R. S., Hofmann, S., Meshot, E. R., Wu, F., Zhou, C., Dee, N., Amama, P. B., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b06511 · Cited by 588
Self-citationA Comprehensive Understanding of Lithium–Sulfur Battery Technology
Li, T., Bai, X., Gulzar, U., Bai, Y., Capiglia, C., Deng, W., Zhou, X., Liu, Z., Feng, Z., & Proietti Zaccaria, R. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201901730 · Cited by 422
Status and Prospects of MXene‐Based Lithium–Sulfur Batteries
Zhao, Q., Zhu, Q., Liu, Y., & Xu, B. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202100457 · Cited by 334
Wang, Y., Zhang, R., Pang, Y.-C., Chen, X., Lang, J., Xu, J., Xiao, C., Li, H., Xi, K., & Ding, S. (2019) · Energy Storage Materials · doi:10.1016/j.ensm.2018.05.019 · Cited by 312
Metadata
- Authors
- Li, M., Carter, R., Douglas, A., Oakes, L., & Pint, C. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-05-08
- Volume
- 11
- Issue
- 5
- Pages
- 4877-4884
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2609415406
- Cited by
- 254
- References
- 1
- FWCI
- 16.56
- 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
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.