Supercapacitors: Materials, Design, and Commercialization
Edited book
Krishnan, Syam G., Pham, Hong Duc and Dubal, Deepak P.. Krishnan, Syam G., Pham, Hong Duc and Dubal, Deepak P. (ed.) 2024. Supercapacitors: Materials, Design, and Commercialization. Elsevier.
Book Title | Supercapacitors: Materials, Design, and Commercialization |
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Book Category | Edited book |
Authors | Krishnan, Syam G., Pham, Hong Duc and Dubal, Deepak P. |
Editors | Krishnan, Syam G., Pham, Hong Duc and Dubal, Deepak P. |
Number of Pages | 417 |
Year | 2024 |
Publisher | Elsevier |
ISBN | 9780443154782 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/C2022-0-01715-3 |
Web Address (URL) | https://www.sciencedirect.com/book/9780443154782/supercapacitors?via=ihub= |
Abstract | Supercapacitors: Materials, Design, and Commercialization provides a comprehensive overview of the latest research trends and opportunities in supercapacitors, particularly in terms of novel materials and electrolytes. The book addresses the transformation in supercapacitive technology from double layer capacitance to battery-type capacitance, providing a clear understanding of the conceptual differences between various charge storage processes for supercapacitors, charge storage based on materials and electrolytes, and calculation for capacitance for these charge processes. Detailed chapters discuss recent developments in materials, such as carbons, chalcogenides, MXene and phosphorene, various polymer nanocomposites, and polyoxometalates for supercapacitors. This is followed by in-depth coverage of electrolytes, including the evolution of electrolytes from aqueous to water-in-salt electrolytes and their role in improving the energy density of supercapacitors. The final part of the book examines the role of artificial intelligence in the design of supercapacitors, and latest developments in translating novel supercapacitor technologies from laboratory-scale research to a commercialization. © 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. |
Contains Sensitive Content | Does not contain sensitive content |
Public Notes | There are no files associated with this item. |
Byline Affiliations | University of Melbourne |
Centre for Future Materials | |
Queensland University of Technology |
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