The DOI matches its Crossref record.
Self-Assembled Hierarchical MoO2/Graphene Nanoarchitectures and Their Application as a High-Performance Anode Material for Lithium-Ion Batteries
Abstract
Self-assembled hierarchical MoO(2)/graphene nanoarchitectures have been fabricated on a large scale through a facile solution-phase process and subsequent reduction of the Mo-precursor/graphene composite. The as-formed MoO(2)/graphene nanohybrid as an anode material for lithium-ion batteries exhibits not only a highly reversible capacity but also an excellent cycling performance as well as good rate capability. Results show that the hierarchical rods made of primary MoO(2) nanocrystals are uniformly encapsulated within the graphene sheets. The synergistic effect of the hierarchical nanoarchitecture and the conducting graphene support may contribute to the enhanced electrochemical performances of the hybrid MoO(2)/graphene electrode. This work presents a facile synthetic strategy that is potentially competitive for scaling-up industrial production. Besides, the MoO(2)/graphene hybrids with a well-defined hierarchical topology not only provide flexible building blocks for advanced functional devices, but are also ideal candidates for studying their nanoarchitecture-dependent performances in catalytic and electronic applications.
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
Cited by
Xie, J., Zhang, J., Li, S., Grote, F., Zhang, X., Zhang, H., Wang, R., Lei, Y., Pan, B., & Xie, Y. (2013) · Journal of the American Chemical Society · doi:10.1021/ja408329q · Cited by 2,350
Nanostructured Mo-based electrode materials for electrochemical energy storage
Hu, X., Zhang, W., Liu, X., Mei, Y., & Huang, Y. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00350k · Cited by 711
Self-citation25th Anniversary Article: Hybrid Nanostructures Based on Two‐Dimensional Nanomaterials
Huang, X., Tan, C., Yin, Z., & Zhang, H. (2014) · Advanced Materials · doi:10.1002/adma.201304964 · Cited by 632
Zhao, Y., Wang, L. P., Sougrati, M. T., Feng, Z., Leconte, Y., Fisher, A., Srinivasan, M., & Xu, Z. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201601424 · Cited by 586
Two‐Dimensional Nanoarchitectures for Lithium Storage
Liu, J., & Liu, X. (2012) · Advanced Materials · doi:10.1002/adma.201104993 · Cited by 543
Ultrathin MoS2/Nitrogen‐Doped Graphene Nanosheets with Highly Reversible Lithium Storage
Chang, K., Geng, D., Li, X., Yang, J., Tang, Y., Cai, M., Li, R., & Sun, X. (2013) · Advanced Energy Materials · doi:10.1002/aenm.201201108 · Cited by 466
Semiconductor SERS enhancement enabled by oxygen incorporation
Zheng, Z., Cong, S., Gong, W., Xuan, J., Li, G., Lu, W., Geng, F., & Zhao, Z. (2017) · Nature Communications · doi:10.1038/s41467-017-02166-z · Cited by 452
Synthesis of Nitrogen-Doped MnO/Graphene Nanosheets Hybrid Material for Lithium Ion Batteries
Zhang, K., Han, P., Gu, L., Zhang, L., Liu, Z., Kong, Q., Zhang, C., Dong, S., Zhang, Z., Yao, J., et al. (2012) · ACS Applied Materials & Interfaces · doi:10.1021/am201173z · Cited by 349
Sun, B., Liang, Z., Qian, Y., Xu, X., Han, Y., & Tian, J. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b20767 · Cited by 284
Wang, C., Wu, L., Wang, H., Zuo, W., Li, Y., & Liu, J. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201500634 · Cited by 279
Liu, J., Tang, S., Lu, Y., Cai, G., Liang, S., Wang, W., & Chen, X. (2013) · Energy & Environmental Science · doi:10.1039/c3ee41006d · Cited by 271
Metadata
- Authors
- Sun, Y., Hu, X., Luo, W., & Huang, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-08-10
- Volume
- 5
- Issue
- 9
- Pages
- 7100-7107
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2313963050
- Cited by
- 655
- References
- 0
- FWCI
- 36.99
- 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
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.