Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,539

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

Polymer Electrolytes for Lithium-Based Batteries: Advances and Prospects

Open access
Zhou, Dong, Shanmukaraj, Devaraj, Tkacheva, Anastasia, Armand, Michel, Wang, Guoxiu·2019·Chem

Abstract

Summary Polymer electrolytes have attracted great interest for next-generation lithium (Li)-based batteries in terms of high energy density and safety. In this review, we summarize the ion-transport mechanisms, fundamental properties, and preparation techniques of various classes of polymer electrolytes, such as solvent-free polymer electrolytes (SPEs), gel polymer electrolytes (GPEs), and composite polymer electrolytes (CPEs). We also introduce the recent advances of non-aqueous Li-based battery systems, in which their performances can be intrinsically enhanced by polymer electrolytes. Those include high-voltage Li-ion batteries, flexible Li-ion batteries, Li-metal batteries, lithium-sulfur (Li-S) batteries, lithium-oxygen (Li-O2) batteries, and smart Li-ion batteries. Especially, the advantages of polymer electrolytes beyond safety improvement are highlighted. Finally, the remaining challenges and future perspectives are outlined to provide strategies to develop novel polymer electrolytes for high-performance Li-based 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 · 10.1016/j.chempr.2019.05.009

Cites

73 of 73 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 73 references

Cited by

See all 1,539

Metadata

Authors
Zhou, D., Shanmukaraj, D., Tkacheva, A., Armand, M., & Wang, G.
Venue
Chem
Publisher
Elsevier BV
Published
2019-09
Volume
5
Issue
9
Pages
2326-2352
ISSN
2451-9294 (ISSN-L)
OpenAlex
W2946925388
Cited by
1,539
References
73
FWCI
45.82
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: Polymer Electrolytes for Lithium-Based Batteries: Advances and Prospects. https://app.cochat.ai/papers/10.1016/j.chempr.2019.05.009
The paper
Zhou, D., Shanmukaraj, D., Tkacheva, A., Armand, M., & Wang, G. (2019). Polymer Electrolytes for Lithium-Based Batteries: Advances and Prospects. Chem. https://doi.org/10.1016/j.chempr.2019.05.009

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.