Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 649

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Emerging Non-Aqueous Potassium-Ion Batteries: Challenges and Opportunities

Wu, Xianyong, Leonard, Daniel P., Ji, Xiulei·2017·Chemistry of Materials

Abstract

The ever-increasing demand for storing renewable energy sources calls for novel battery technologies that are of sustainably low levelized energy cost. Research into battery chemistry has evolved to a stage where a plethora of choices based on earth-abundant elements can be compared during their development. One of the emerging candidates is the nonaqueous potassium-ion battery. K-ion’s unique properties as a charge carrier have aroused intense interest in exploring high-performing cathode and anode materials for this battery. Rapid progress has been made, where leading candidates of electrodes have been proposed, i.e., hard carbon as anode and Prussian white analogues as cathode. In this new battery technology’s infancy, it is our opinion that the focus should be given to potentially scalable, inexpensive electrode materials and the understanding of their cycle-life-property correlations. It may be the ultralong cycle life that differentiates potassium-ion batteries from sodium-ion batteries in the future market.

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/acs.chemmater.7b01764

Cites

2 of 2 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 2 references

Cited by

See all 649

Metadata

Authors
Wu, X., Leonard, D. P., & Ji, X.
Venue
Chemistry of Materials
Published
2017-06-07
Volume
29
Issue
12
Pages
5031-5042
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W2618459326
Cited by
649
References
2
FWCI
35.13
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: Emerging Non-Aqueous Potassium-Ion Batteries: Challenges and Opportunities. https://app.cochat.ai/papers/10.1021/acs.chemmater.7b01764
The paper
Wu, X., Leonard, D. P., & Ji, X. (2017). Emerging Non-Aqueous Potassium-Ion Batteries: Challenges and Opportunities. Chemistry of Materials. https://doi.org/10.1021/acs.chemmater.7b01764

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.