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MoS2‐Based Nanocomposites for Electrochemical Energy Storage
Open accessAbstract
Typical layered transition‐metal chalcogenide materials, in particular layered molybdenum disulfide (MoS 2) nanocomposites, have attracted increasing attention in recent years due to their excellent chemical and physical properties in various research fieldsHere, a general overview of synthetic MoS 2 based nanocomposites via different preparation approaches and their applications in energy storage devices (Li‐ion battery, Na‐ion battery, and supercapacitor) is presented. The relationship between morphologies and the electrochemical performances of MoS 2‐based nanocomposites in the three typical and promising rechargeable systems is also discussed. Finally, perspectives on major challenges and opportunities faced by MoS 2‐based materials to address the practical problems of MoS 2‐based materials are presented.
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Metadata
- Authors
- Wang, T., Chen, S., Pang, H., Xue, H., & Yu, Y.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2016-12-06
- Volume
- 4
- Issue
- 2
- Pages
- 1600289-1600289
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W2560701263
- Cited by
- 481
- References
- 139
- FWCI
- 15.50
- 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 ›
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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.