Artificial intelligence-based analysis employing Levenberg Marquardt neural networks to study chemically reactive thermally radiative tangent hyperbolic nanofluid flow considering Darcy-Forchheimer theory

The complexity of fluid dynamics, or, more specifically, the use of reacting, radiative emitting/absorbing chemically active nanofluids, poses a problem to conventional computational models. To overcome these difficulties, this research seeks to apply the Levenberg–Marquardt Neural Networks (LMA-NN)...

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Detalhes bibliográficos

Principais autores:	Hamid Qureshi, Usman Khaliq, Zahoor Shah, Hajar Abutuqayqah, Muhammad Waqas, S. Saleem, Waqar Azeem Khan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-03-01
Colecção:	Journal of Radiation Research and Applied Sciences
Assuntos:	Darcy-forchheimer Tangent-hyperbolic fluid Activation energy
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1687850724004370
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