Machine learning enabled property prediction of carbon-based electrodes for supercapacitors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s10853-023-08981-8.pdf
Reference40 articles.
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2. Krishnan S, Gupta AK, Singh MK, Guha N, Rai DK (2022) Nitrogen-rich Cu-MOF decorated on reduced graphene oxide nanosheets for hybrid supercapacitor applications with enhanced cycling stability. Chem Eng J 43:135042–135054. https://doi.org/10.1016/j.cej.2022.135042
3. Fan E, Li L, Wang Z, Lin J, Huang Y, Yao Y, Chen R, Wu F (2020) Sustainable recycling technology for Li-ion batteries and beyond: challenges and future prospects. Chem Rev 120:7020–7063. https://doi.org/10.1021/acs.chemrev.9b00535
4. Forse AC, Merlet C, Griffin JM, Grey CP (2016) New perspectives on the charging mechanisms of supercapacitors. J Am Chem Soc 138:5731–5744. https://doi.org/10.1021/jacs.6b02115
5. Wang DG, Liang Z, Gao S, Qu C, Zou R (2020) Metal-organic framework-based materials for hybrid supercapacitor application. Coord Chem Rev 404:213093–213115. https://doi.org/10.1016/j.ccr.2019.213093
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