Combinatorial atomistic-to-AI prediction and experimental validation of heating effects in 350 F supercapacitor modules
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DOI: 10.1016/j.ijheatmasstransfer.2021.121075
Abstract: Abstract Accurately predicting thermal behavior is critically important in the real-world thermal management of supercapacitor modules with ultrahigh power and discharging current. In this work, an artificial intelligence approach based on the improved multiscale coupled… read more here.
Keywords: 350 supercapacitor; thermal behavior; supercapacitor; combinatorial atomistic ... See more keywords