Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 537

The DOI matches its Crossref record.

Template-Directed Materials for Rechargeable Lithium-Ion Batteries

Cheng, Fangyi, Tao, Zhanliang, Liang, Jing, Chen, Jun·2008·Chemistry of Materials

Abstract

Extensive research activities have been directed to develop flexible rechargeable lithium-ion batteries with large capacity, high power, and long cycling life. Template technology offers the benefits in terms of either designing new-type electrode materials or modifying traditional battery configurations. With the aid of “hard” or “soft” templates, a variety of functional materials with diverse structures and morphologies such as one-dimensional (1D) nanostructures, 2D films, and 3D porous frameworks have been synthesized. This review highlights the recent progress in the template-prepared electrode materials for lithium storage, mainly focusing on the Li + intercalation reactions and the Li conversion properties with the nanostructures of LiCoO 2, C, SnO 2, Fe 2 O 3, Co 3 O 4, VO x, and MnO 2 . In some specifically demonstrated examples, the templated cathode materials (e.g., lithium metal oxides) show significantly improved reversibility and high rate capability over a voltage of 3 V after 100 cycles, whereas the templated anode materials (e.g., metal oxides) can deliver high capacity exceeding 1000 mA h g −1 . The structural and morphological merits of the template-directed materials have been especially addressed in comparison with their traditional bulk forms.

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/cm702091q

Cites

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

Cited by

See all 537

Metadata

Authors
Cheng, F., Tao, Z., Liang, J., & Chen, J.
Venue
Chemistry of Materials
Published
2007-12-28
Volume
20
Issue
3
Pages
667-681
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W2077511701
Cited by
537
References
0
FWCI
23.63
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: Template-Directed Materials for Rechargeable Lithium-Ion Batteries. https://app.cochat.ai/papers/10.1021/cm702091q
The paper
Cheng, F., Tao, Z., Liang, J., & Chen, J. (2008). Template-Directed Materials for Rechargeable Lithium-Ion Batteries. Chemistry of Materials. https://doi.org/10.1021/cm702091q

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.