The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Polyaniline (PANi) based electrode materials for energy storage and conversion
Open accessAbstract
Polyaniline (PANi) as one kind of conducting polymers has been playing a great role in the energy storage and conversion devices besides carbonaceous materials and metallic compounds. Due to high specific capacitance, high flexibility and low cost, PANi has shown great potential in supercapacitor. It alone can be used in fabricating an electrode. However, the inferior stability of PANi limits its application. The combination of PANi and other active materials (carbon materials, metal compounds or other polymers) can surpass these intrinsic disadvantages of PANi. This review summarizes the recent progress in PANi based composites for energy storage/conversion, like application in supercapacitors, rechargeable batteries, fuel cells and water hydrolysis. Besides, PANi derived nitrogen-doped carbon materials, which have been widely employed as carbon based electrodes/catalysts, are also involved in this review. PANi as a promising material for energy storage/conversion is deserved for intensive study and further development.
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Cites
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Cited by
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Nankya, R., Lee, J., Opar, D. O., & Jung, H. (2019) · Applied Surface Science · doi:10.1016/j.apsusc.2019.06.015 · Cited by 86
Metadata
- Authors
- Wang, H., Lin, J., & Shen, Z. X.
- Venue
- Journal of Science: Advanced Materials and Devices
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 1
- Issue
- 3
- Pages
- 225-255
- ISSN
- 2468-2179 (ISSN-L)
- OpenAlex
- W2508506819
- Cited by
- 631
- References
- 97
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, H., Lin, J., & Shen, Z. X. (2016). Polyaniline (PANi) based electrode materials for energy storage and conversion. Journal of Science: Advanced Materials and Devices. https://doi.org/10.1016/j.jsamd.2016.08.001
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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.
