The current study explores a new direction of research in which the magnetohydrodynamic (MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …
The artificial intelligence based neural networking with Back Propagated Levenberg- Marquardt method (NN-BPLMM) is developed to explore the modeling of double‐diffusive …
The present study addressed the physical significance of the entropy generation for the mixed convection time-dependent flow of cross-hybrid nanoliquid due to the stretched …
Scientists and researchers are much interested in studying graphene and silver nanoparticles for the enhancement of heat transport due to their extensive variety of …
In recent years, hybrid genetic algorithms have attracted a lot of attention and are being utilized more frequently to address real-world issues. A genetic algorithm can combine …
The current investigative exploration exemplifies the conceptualization of a novel design intelligent computing paradigm based on artificial neural networks (ANNs) by utilizing radial …
This study focused on mass and heat transport in a time-dependent hydro-magnetic Carreau- nanofluid flow model (HF-CNM) over a radially stretched surface. The impacts of Brownian …
Background There are a variety of lethal infectious diseases that are seriously affecting people's lives worldwide, particularly in developing countries. Hepatitis B, a fatal liver …
Aim: In the present study, the influences of chemical reactions on heat transfer and the peristaltic pumping of nanofluid in a convergent channel are analyzed. This mathematical …