Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,443

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

On the Surface Chemical Aspects of Very High Energy Density, Rechargeable Li–Sulfur Batteries

Open access
Aurbach, Doron, Pollak, Elad, Elazari, Ran, Salitra, Gregory, Kelley, C. Scordilis, Affinito, John·2009·Journal of The Electrochemical Society

Abstract

Li(metal)–sulfur (Li–S) systems are among the rechargeable batteries of the highest possible energy density due to the high capacity of both electrodes. The surface chemistry developed on Li electrodes in electrolyte solutions for Li–S batteries was rigorously studied using Fourier transform infrared and X-ray photoelectron spectroscopies. A special methodology was developed for handling the highly reactive Li samples. It was possible to analyze the contribution of solvents such as 1-3 dioxolane, the electrolyte , polysulfide , and additives to protective surface films that are formed on the Li electrodes. The role of as a critical component whose presence in solutions prevents a shuttle mechanism that limits the capacity of the sulfur electrodes is discussed and explained herein.

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 · 10.1149/1.3148721

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 1,443

Metadata

Authors
Aurbach, D., Pollak, E., Elazari, R., Salitra, G., Kelley, C. S., & Affinito, J.
Venue
Journal of The Electrochemical Society
Published
2009
Volume
156
Issue
8
Pages
A694
ISSN
0013-4651 (ISSN-L)
OpenAlex
W2057899803
Cited by
1,443
References
1
FWCI
20.06
Type
journal article
Language
en
Open access
bronze

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: On the Surface Chemical Aspects of Very High Energy Density, Rechargeable Li–Sulfur Batteries. https://app.cochat.ai/papers/10.1149/1.3148721
The paper
Aurbach, D., Pollak, E., Elazari, R., Salitra, G., Kelley, C. S., & Affinito, J. (2009). On the Surface Chemical Aspects of Very High Energy Density, Rechargeable Li–Sulfur Batteries. Journal of The Electrochemical Society. https://doi.org/10.1149/1.3148721

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.