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Multilayer deep-learning intelligent computing for the numerical analysis of unsteady heat and mass transfer in MHD carreau nanofluid model

The objective of this article is to investigate the mechanism of unsteady heat and mass transfer (HMT) in a magnetohydrodynamics Carreau nanofluid flow (MHD-CNFF). To accomplish this, we utilized a novel artificial intelligence-based (AI) method, deep learning predictive technique combined with Leve...

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Principais autores: Zahoor Shah, Mohammed Alreshoodi, Muhammad Asif Zahoor Raja, iqbal Hamza, Hamid Qureshi
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2024-12-01
coleção:Case Studies in Thermal Engineering
Assuntos:
Artificial intelligence
Deep learning
Neural networks
Carreau nanofluid
Magnetohydrodynamics
Levenberg-marquardt scheme
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2214157X2401400X
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