The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphene-modified nanostructured vanadium pentoxide hybrids with extraordinary electrochemical performance for Li-ion batteries
Open accessAbstract
The long-standing issues of low intrinsic electronic conductivity, slow lithium-ion diffusion and irreversible phase transitions on deep discharge prevent the high specific capacity/energy (443 mAh g−1 and 1,550 Wh kg−1) vanadium pentoxide from being used as the cathode material in practical battery applications. Here we develop a method to incorporate graphene sheets into vanadium pentoxide nanoribbons via the sol–gel process. The resulting graphene-modified nanostructured vanadium pentoxide hybrids contain only 2 wt. % graphene, yet exhibits extraordinary electrochemical performance: a specific capacity of 438 mAh g−1, approaching the theoretical value (443 mAh g−1), a long cyclability and significantly enhanced rate capability. Such performance is the result of the combined effects of the graphene on structural stability, electronic conduction, vanadium redox reaction and lithium-ion diffusion supported by various experimental studies. This method provides a new avenue to create nanostructured metal oxide/graphene materials for advanced battery applications. Vanadium pentoxide is considered a promising lithium battery electrode, but suffers from poor rate capability and cyclability. Here, the authors synthesize graphene-modified nanostructured vanadium pentoxide and show significant improvement in rate performance and cycle life.
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.
Integrity signals
Registry
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.
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
Electrically conductive oxide aerogels: new materials in electrochemistry
Rolison, D. R., & Dunn, B. (2001) · Journal of Materials Chemistry · doi:10.1039/b007591o · Cited by 357
Cited by
Towards establishing standard performance metrics for batteries, supercapacitors and beyond
Noori, A., El-Kady, M. F., Rahmanifar, M. S., Kaner, R. B., & Mousavi, M. F. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00581h · Cited by 1,303
Two‐Dimensional Metal Oxide Nanomaterials for Next‐Generation Rechargeable Batteries
Mei, J., Liao, T., Kou, L., & Sun, Z. (2017) · Advanced Materials · doi:10.1002/adma.201700176 · Cited by 459
Graphene-based materials for electrochemical energy storage devices: Opportunities and challenges
Lv, W., Li, Z., Deng, Y., Yang, Q.-H., & Kang, F. (2016) · Energy Storage Materials · doi:10.1016/j.ensm.2015.10.002 · Cited by 433
Self-citationMulti-shelled metal oxides prepared via an anion-adsorption mechanism for lithium-ion batteries
Wang, J., Tang, H., Zhang, L., Ren, H., Yu, R., Jin, Q., Qi, J., Mao, D., Yang, M., Wang, Y., et al. (2016) · Nature Energy · doi:10.1038/nenergy.2016.50 · Cited by 432
Micro‐ and Nano‐Structured Vanadium Pentoxide (V2O5) for Electrodes of Lithium‐Ion Batteries
Yue, Y., & Liang, H. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201602545 · Cited by 382
Metadata
- Authors
- Liu, Q., Li, Z.-F., Liu, Y., Zhang, H., Ren, Y., Sun, C.-J., Lu, W., Zhou, Y., Stanciu, L., Stach, E. A., & Xie, J.
- Venue
- Nature Communications
- Published
- 2015-01-20
- Volume
- 6
- Issue
- 1
- Pages
- 6127-6127
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2065445722
- Cited by
- 249
- References
- 1
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- gold
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.