Machine learning enabled property prediction of carbon-based electrodes for supercapacitors
Machine learning enabled property prediction of carbon-based electrodes for supercapacitors
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
For supercapacitor electrodes, carbon is one of the most sought materials. Many synthetic strategies have been reported for carbon materials with a wide range of features in terms of surface area, porosity, the extent of the disorder, and the presence of various doping elements. Though there are many reports on the independent impact of these prope...
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Machine learning enabled property prediction of carbon-based electrodes for supercapacitors
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TN_cdi_proquest_miscellaneous_3153570426
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3153570426
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ISSN
0022-2461
E-ISSN
1573-4803
DOI
10.1007/s10853-023-08981-8
