The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Boosting Zinc-Ion Storage Capability by Effectively Suppressing Vanadium Dissolution Based on Robust Layered Barium Vanadate
Abstract
Vanadium-based compounds with an open framework structure have become the subject of much recent investigation into aqueous zinc-ion batteries (AZIBs) due to high specific capacity. However, there are some issues with vanadium dissolution from a cathode framework as well as the generation of byproducts during discharge that should not be ignored, which could cause severe capacity deterioration and inadequate cycle life. Herein, we report several barium vanadate nanobelt cathodes constructed of two sorts of architectures, i.e., Ba 1.2 V 6 O 16 ·3H 2 O and BaV 6 O 16 ·3H 2 O (V 3 O 8 -type) and Ba x V 2 O 5 · n H 2 O (V 2 O 5 -type), which are controllably synthesized by tuning the amount of barium precursor. Benefiting from the robust architecture, layered Ba x V 3 O 8 -type nanobelts (Ba 1.2 V 6 O 16 ·3H 2 O) exhibit superior rate capability and long-term cyclability owing to fast zinc-ion kinetics, enabled by efficiently suppressing cathode dissolution as well as greatly eliminating the generation of byproduct Zn 4 SO 4 (OH) 6 · x H 2 O, which provides a reasonable strategy to engineer cathode materials with robust architectures to improve the electrochemical performance of AZIBs.
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
Towards greener and more sustainable batteries for electrical energy storage
Larcher, D., & Tarascon, J.-M. (2015) · Nature Chemistry · doi:10.1038/nchem.2085 · Cited by 7,872
Pseudocapacitive oxide materials for high-rate electrochemical energy storage
Augustyn, V., Simon, P., & Dunn, B. (2014) · Energy & Environmental Science · doi:10.1039/c3ee44164d · Cited by 5,575
Pseudocapacitive Contributions to Electrochemical Energy Storage in TiO2 (Anatase) Nanoparticles
Wang, J., Polleux, J., Lim, J., & Dunn, B. (2007) · The Journal of Physical Chemistry C · doi:10.1021/jp074464w · Cited by 5,333
“Water-in-salt” electrolyte enables high-voltage aqueous lithium-ion chemistries
Suo, L., Borodin, O., Gao, T., Olguin, M., Ho, J., Fan, X., Luo, C., Wang, C., & Xu, K. (2015) · Science · doi:10.1126/science.aab1595 · Cited by 3,821
Ordered mesoporous α-MoO3 with iso-oriented nanocrystalline walls for thin-film pseudocapacitors
Brezesinski, T., Wang, J., Tolbert, S. H., & Dunn, B. (2010) · Nature Materials · doi:10.1038/nmat2612 · Cited by 3,359
Highly reversible zinc metal anode for aqueous batteries
Wang, F., Borodin, O., Gao, T., Fan, X., Sun, W., Han, F., Faraone, A., Dura, J. A., Xu, K., & Wang, C. (2018) · Nature Materials · doi:10.1038/s41563-018-0063-z · Cited by 3,305
Kundu, D., Adams, B. D., Duffort, V., Vajargah, S. H., & Nazar, L. F. (2016) · Nature Energy · doi:10.1038/nenergy.2016.119 · Cited by 3,124
Reversible aqueous zinc/manganese oxide energy storage from conversion reactions
Pan, H., Shao, Y., Yan, P., Cheng, Y., Han, K. S., Nie, Z., Wang, C., Yang, J., Li, X., Bhattacharya, P., et al. (2016) · Nature Energy · doi:10.1038/nenergy.2016.39 · Cited by 3,066
Recent Advances in Aqueous Zinc-Ion Batteries
Fang, G., Zhou, J., Pan, A., & Liang, S. (2018) · ACS Energy Letters · doi:10.1021/acsenergylett.8b01426 · Cited by 2,258
Recent Advances in Zn‐Ion Batteries
Song, M., Tan, H., Chao, D., & Fan, H. J. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201802564 · Cited by 2,196
Metadata
- Authors
- Wang, X., Xi, B., Ma, X., Feng, Z., Jia, Y., Feng, J., Qian, Y., & Xiong, S.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-03-17
- Volume
- 20
- Issue
- 4
- Pages
- 2899-2906
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W3012225041
- Cited by
- 331
- References
- 45
- FWCI
- 16.20
- 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: Boosting Zinc-Ion Storage Capability by Effectively Suppressing Vanadium Dissolution Based on Robust Layered Barium Vanadate. https://app.cochat.ai/papers/10.1021/acs.nanolett.0c00732
- The paper
- Wang, X., Xi, B., Ma, X., Feng, Z., Jia, Y., Feng, J., Qian, Y., & Xiong, S. (2020). Boosting Zinc-Ion Storage Capability by Effectively Suppressing Vanadium Dissolution Based on Robust Layered Barium Vanadate. Nano Letters. https://doi.org/10.1021/acs.nanolett.0c00732
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.