The current study examines the numerical simulation of the nanoliquid boundary layer flow
comprising gyrotactic microbes with mass and energy transmission across a stretching …

This study explores the impacts of heat transportation on hybrid (Ag+ MgO) nanofluid flow in
a porous cavity using artificial neural networks (Bayesian regularization approach (BRT …

The significance of the study is to determine of transferred heat and mass impact on the
magneto-hydrodynamic peristalsis of Jeffery nanofluid through porous media with inclined …

According to a survey of the literature, nanofluids are superior to traditional fluids at
transferring heat. A detailed analysis of the models mentioned above is crucial since there …

The study of heat transfer problems is of paramount significance due to their wider spectrum
of applications specifically in heat engines, insulation, chemical and thermal engineering …

Artificial intelligence (AI) knacks are exploited broadly by the research community in the field
of engineering and technology to enhance efficacy of the outputs for rapid development of …

Carbon nanotubes (CNTs) have gained significant attention in the field of fluid dynamics and
fluid flows due to their unique properties and the potential to enhance various aspects of …

In this study, impact of second order slip for Maxwell fluid at vertical exponential stretching
sheet is deliberated. Dufour and Soret impact for vertical exponential stretching sheet under …

Present communication explores a novel application of the computational intelligence
technique, namely, the Levenberg–Marquardt scheme under a Backpropagated Neural …

This article studied a numerical estimation of the double-diffusive peristaltic flow of a non-
Newtonian Sisko nanofluid through a porous medium inside a horizontal symmetric flexible …