Comparative study of machine learning based prediction of supercapacitance performance of activated carbon prepared from Bio-based Materials
Kirtibir Rajguru,
Sujan Bhandari,
Ganesh Kumar Shrestha
et al.
Abstract:The performance of electrochemical double-layer capacitors (EDLCs) is evaluated by the capacitance of activated carbon (AC) electrodes. The capacitance of AC electrodes is influenced by many factors such as precursor type, activation method, pore structure, surface chemistry and electrolytic properties. In this paper, we present a comparative study of machine learning based prediction of surface area, mesopore volume and total pore volume of activated carbon for energy storage applications. The ML models were … Show more
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