所蔵: Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions

Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions

Nanofluid, coupled with machine learning, is at the forefront of cutting-edge research in sustainable and renewable energy sector. This review paper examines the latest developments in the intersection of nanofluid and machine learning for heat transfer enhancement. This hybrid nanofluid-machine lea...

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主要な著者:	Riyadi T.W.B., Herawan S.G., Tirta A., Ee Y.J., Hananto A.L., Paristiawan P.A., Yusuf A.A., Venu H., Irianto, Veza I.
その他の著者:	55930344300
フォーマット:	Review
出版事項:	Elsevier B.V. 2025
主題:	Nanofluidics Transfer learning Heat Transfer enhancement Heat-transfer characteristics Hybrid nanofluid Hybrid nanofluid heat transfer enhancement Hybrid nanofluid-machine learning heat transfer Machine learning for sustainable and renewable energy Machine-learning Nanofluid heat transfer characteristic and enhancement Nanofluid heat transfer numerical study Nanofluid-machine learning heat transfer enhancement Nanofluids Renewable energies Sustainable energy Support vector machines
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Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions

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