A highly accurate model for prediction of thermal conductivity of carbon-based nano-enhanced PCMs using an artificial neural network

Nano-PCMs, which contain nanostructured materials, can enhance the low thermal conductivity of phase change materials (PCMs). It is crucial to predict the precise thermal conductivity of nano-PCM to assess the heat transfer during phase change procedures such as melting and solidification. In this s...

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Hlavní autoři:	Mojtaba Taheri, Fathollah Pourfayaz, Sara Hemmati
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2023-11-01
Edice:	Energy Reports
Témata:	PCMs Nano-PCMs Nano-enhanced PCMs Artificial neural network Carbon nanostructures
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352484723011368
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