Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 393

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

High-Performance Li–S Batteries with an Ultra-lightweight MWCNT-Coated Separator

Chung, Sheng-Heng, Manthiram, Arumugam·2014·The Journal of Physical Chemistry Letters

Abstract

A bifunctional separator consisting of a layer of multiwall carbon nanotubes (MWCNTs) on the cathode-side of a Celgard polypropylene sheet has been investigated to overcome the challenges of Li-S cells. The conductive/porous MWCNT-coating functions (i) as an upper current collector to facilitate electron transport and high active-material utilization and (ii) as a filter to intercept/absorb the migrating polysulfides and thereby suppress the polysulfide diffusion. Also, the access to the electrolyte through the porous network of MWCNT along with its fast electronic transport facilitates the reutilization of the trapped active material and superior long-term cyclability. The MWCNT-coating is lightweight (0.17 mg cm(-2)), yet allows the successful use of regular sulfur cathodes (high sulfur content of 70 wt %) with high discharge capacity, excellent rate performance, and long cycle life, demonstrating that the MWCNT-coated separator is a viable solution to practical 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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jz5006913

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 393

Metadata

Authors
Chung, S.-H., & Manthiram, A.
Venue
The Journal of Physical Chemistry Letters
Published
2014-05-22
Volume
5
Issue
11
Pages
1978-1983
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2093803082
Cited by
393
References
1
FWCI
22.82
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: High-Performance Li–S Batteries with an Ultra-lightweight MWCNT-Coated Separator. https://app.cochat.ai/papers/10.1021/jz5006913
The paper
Chung, S.-H., & Manthiram, A. (2014). High-Performance Li–S Batteries with an Ultra-lightweight MWCNT-Coated Separator. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz5006913

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.