Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 321

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

Dual-Phase Lithium Metal Anode Containing a Polysulfide-Induced Solid Electrolyte Interphase and Nanostructured Graphene Framework for Lithium–Sulfur Batteries

Open access
Cheng, Xin-Bing, Peng, Hong-Jie, Huang, Jia-Qi, Zhang, Rui, Zhao, Chen-Zi, Zhang, Qiang·2015·ACS Nano

Abstract

Lithium-sulfur (Li-S) batteries, with a theoretical energy density of 2600 Wh kg(-1), are a promising platform for high-energy and cost-effective electrochemical energy storage. However, great challenges such as fast capacity degradation and safety concerns prevent it from widespread application. With the adoption of Li metal as the anode, dendritic and mossy metal depositing on the negative electrode during repeated cycles leads to serious safety concerns and low Coulombic efficiency. Herein, we report a distinctive graphene framework structure coated by an in situ formed solid electrolyte interphase (SEI) with Li depositing in the pores as the anode of Li-S batteries. The graphene-based metal anode demonstated a superior dendrite-inhibition behavior in 70 h of lithiation, while the cell with a Cu foil based metal anode was short-circuited after only 4 h of lithiation at 0.5 mA cm(-2). The graphene-modified Li anode with SEI induced by the polysulfide-containing electrolyte improved the Coulombic efficiency to ∼97% for more than 100 cycles, while the control sample with Cu foil as the current collector exhibited huge fluctuations in Coulombic efficiency. The unblocked ion pathways and high electron conductivities of frameworks in the modified metal anode led to the rapid transfer of Li ions through the SEI and endowed the anode framework with an ion conductivity of 7.81 × 10(-2) mS cm(-1), nearly quintuple that of the Cu foil based Li metal anode. Besides, the polarization in the charge-discharge process was halved to 30 mV. The stable and efficient Li deposition was maintained after 2000 cycles. Our results indicated that nanoscale interfacial electrode engineering could be a promising strategy to tackle the intrinsic problems of lithium metal anodes, thus improving the safety of Li-S cells.

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/acsnano.5b01990

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

Cited by

See all 321

Metadata

Authors
Cheng, X.-B., Peng, H.-J., Huang, J.-Q., Zhang, R., Zhao, C.-Z., & Zhang, Q.
Venue
ACS Nano
Published
2015-06-09
Volume
9
Issue
6
Pages
6373-6382
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2427150934
Cited by
321
References
2
FWCI
24.70
Type
journal article
Language
en
Open access
hybrid

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

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.