AI-driven simulation of chemically reactive non-Darcian Casson nanomaterial flow with quadratic convection and variable thermo-solutal characteristics

Background: Simulation of complex non-Newtonian nanofluid systems such as porous media, nonlinear convection and coupled heat-mass transport are still a daunting problem in thermal and fluid engineering. Traditional numerical methods have been known to experience challenges with strong nonlinearitie...

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Detalhes bibliográficos

Principais autores:	M. Nasir, Amjad Ali Pasha, M. Salman Kausar, Mudasar Zafar, Khalid Juhany, Seraj Alzhrani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-06-01
Colecção:	Results in Chemistry
Assuntos:	Heat and mass transfer Levenberg-Marquardt scheme (LMS) Nonlinear mixed convection Cattaneo-Christov heat flux, artificial neural networks (ANNs) Machine learning, numerical Bvp4c solver
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2211715626002237
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