The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphene‐Based Materials for Lithium‐Ion Hybrid Supercapacitors
Abstract
Lithium‐ion hybrid supercapacitors (LIHSs), also called Li‐ion capacitors, have attracted much attention due to the combination of the rapid charge–discharge and long cycle life of supercapacitors and the high energy‐storage capacity of lithium‐ion batteries. Thus, LIHSs are expected to become the ultimate power source for hybrid and all‐electric vehicles in the near future. As an electrode material, graphene has many advantages, including high surface area and porous structure, high electric conductivity, and high chemical and thermal stability, etc. Compared with other electrode materials, such as activated carbon, graphite, and metal oxides, graphene‐based materials with 3D open frameworks show higher effective specific surface area, better control of channels, and higher conductivity, which make them better candidates for LIHS applications. Here, the latest advances in electrode materials for LIHSs are briefly summarized, with an emphasis on graphene‐based electrode materials (including 3D graphene networks) for LIHS applications. An outlook is also presented to highlight some future directions.
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Citations
Cites
Self-Assembled Graphene Hydrogel via a One-Step Hydrothermal Process
Xu, Y., Sheng, K., Li, C., & Shi, G. (2010) · ACS Nano · doi:10.1021/nn101187z · Cited by 3,251
Metadata
- Authors
- Ma, Y., Chang, H., Zhang, M., & Chen, Y.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-08-21
- Volume
- 27
- Issue
- 36
- Pages
- 5296-5308
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W1855154356
- Cited by
- 499
- References
- 1
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ma, Y., Chang, H., Zhang, M., & Chen, Y. (2015). Graphene‐Based Materials for Lithium‐Ion Hybrid Supercapacitors. Advanced Materials. https://doi.org/10.1002/adma.201501622
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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