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Advanced Energy Storage Devices: Basic Principles, Analytical Methods, and Rational Materials Design
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Tremendous efforts have been dedicated into the development of high‐performance energy storage devices with nanoscale design and hybrid approaches. The boundary between the electrochemical capacitors and batteries becomes less distinctive. The same material may display capacitive or battery‐like behavior depending on the electrode design and the charge storage guest ions. Therefore, the underlying mechanisms and the electrochemical processes occurring upon charge storage may be confusing for researchers who are new to the field as well as some of the chemists and material scientists already in the field. This review provides fundamentals of the similarities and differences between electrochemical capacitors and batteries from kinetic and material point of view. Basic techniques and analysis methods to distinguish the capacitive and battery‐like behavior are discussed. Furthermore, guidelines for material selection, the state‐of‐the‐art materials, and the electrode design rules to advanced electrode are proposed.
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High‐Surface‐Area Nitrogen‐Doped Reduced Graphene Oxide for Electric Double‐Layer Capacitors
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Towards establishing standard performance metrics for batteries, supercapacitors and beyond
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2D/2D 1T‐MoS2/Ti3C2 MXene Heterostructure with Excellent Supercapacitor Performance
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Metadata
- Authors
- Liu, J., Wang, J., Xu, C., Jiang, H., Li, C., Zhang, L., Lin, J., & Shen, Z. X.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2017-11-15
- Volume
- 5
- Issue
- 1
- Pages
- 1700322-1700322
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W2768660995
- Cited by
- 1,745
- References
- 122
- FWCI
- 33.66
- 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.