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Machine learning-based prediction and evaluation of supercapacitor performance of transition metal carbide developed by using waste surgical masks during COVID-19

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Machine learning-based prediction and evaluation of supercapacitor performance of transition metal carbide developed by using waste surgical masks during COVID-19 Fossil-free and renewable energy sources are a must for a sustainable society. Pushing the limitation of supercapacitors (SC) beyond their limits by producing metal carbides using as carbon source spent surgical masks, an immense side-product burden of COVID-19 pandemic, MESTUM project aims to tackle the worldwide increasing energy demand with highly efficient, stable, environmentally friendly and low-cost electrode materials (EM). The development of EM by transition metal carbides has attracted significant research attention thanks to its high-temperature stability, conductivity, easy operation in aqueous/organic electrolytes and insignificant electrolyte leaching. Easily accessible and abundant, manganese metal carbides, wit

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recordType

award

status

TERMINATED

region

EU

value

166278.72

unit

EUR