Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 721

The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.

Artificial Interphases for Highly Stable Lithium Metal Anode

Open access
Xu, Rui, Cheng, Xin-Bing, Yan, Chong, Zhang, Xue-Qiang, Xiao, Ye, Zhao, Chen-Zi, Huang, Jia-Qi, Zhang, Qiang·2019·Matter

Abstract

Summary It has been a long pursuit for the adoption of the lithium (Li) metal anode because of its extremely high specific capacity and the lowest electrochemical equilibrium potential. However, the practical implement of Li anode is severely hindered by the unstable interfaces stemming from its ultrahigh reactivity, which directly dictates a low Coulombic efficiency, dendrite growth behavior, and even safety concerns. In this review, we focus on the emerging strategy of artificial protective films to fulfill a stable working Li metal anode. The recent efforts on strengthening the Li metal and liquid or solid electrolyte interfaces with artificial films are comprehensively summarized and discussed. This review highlights the significance of interface-related science and engineering in both liquid-state and solid-state Li metal batteries, affords fresh insights on the interdisciplinary issues, and calls on more dedication to pave the way for safe and high-energy-density Li metal 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.matt.2019.05.016

Cites

147 of 147 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 147 references

Cited by

See all 721

Metadata

Authors
Xu, R., Cheng, X.-B., Yan, C., Zhang, X.-Q., Xiao, Y., Zhao, C.-Z., Huang, J.-Q., & Zhang, Q.
Venue
Matter
Publisher
Elsevier BV
Published
2019-08
Volume
1
Issue
2
Pages
317-344
ISSN
2590-2385 (ISSN-L)
OpenAlex
W2966809731
Cited by
721
References
147
FWCI
34.10
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: Artificial Interphases for Highly Stable Lithium Metal Anode. https://app.cochat.ai/papers/10.1016/j.matt.2019.05.016
The paper
Xu, R., Cheng, X.-B., Yan, C., Zhang, X.-Q., Xiao, Y., Zhao, C.-Z., Huang, J.-Q., & Zhang, Q. (2019). Artificial Interphases for Highly Stable Lithium Metal Anode. Matter. https://doi.org/10.1016/j.matt.2019.05.016

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.