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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Main Authors: Tri W.B. Riyadi, Safarudin G. Herawan, Andy Tirta, Yit Jing Ee, April Lia Hananto, Permana A. Paristiawan, Abdulfatah Abdu Yusuf, Harish Venu, Irianto, Ibham Veza
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Hybrid nanofluid heat transfer enhancement
Nanofluid heat transfer numerical study
Nanofluid-machine learning heat transfer enhancement
Hybrid nanofluid-machine learning heat transfer
Nanofluid heat transfer characteristics and enhancement
Machine learning for sustainable and renewable energy
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302401257X
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