In view of the dominant properties of hybrid nanofluid such as high thermal and electrical
conductivity in addition to enhanced heat transfer rate, efforts had been strengthened by …

Hybrid nanofluids can provide better physical strength, thermal conductivity, and mechanical
resistance in many thermodynamic systems than pure nanofluids. To establish the novel …

The homogeneous and heterogeneous reactions can provide important insights into the
design and optimization of nanofluid-based heat transfer systems for various applications …

In the present work, a simple intelligence-based computation of artificial neural networks
with the Levenberg-Marquardt backpropagation algorithm is developed to analyze the new …

Current paper focusses on the mathematical simulation of thermo-fluidic unsteady flow in a
magnetohydrodynamic (MHD) Couette channel containing novel (ZnO–Al 2 O 3)-water …

The magnetohydrodynamic (MHD), forced convective, rotating flow of nanofluid is
investigated induced by eccentric rotations of a unsteady stretching porous disk and that of …

Numerical simulation in conjunction with artificial neural networks (ANN) has shown to be an
advanced method for simulating and modeling intricate fluid dynamics problems. However …

The present article numerically investigates the unsteady magnetohydrodynamic (MHD)
Couette flow containing novel (Ag+ MgO)-water hybrid nanofluid (HNF). The nanoparticles …

The Williamson fluid model's flow field properties have drawn researchers' attention in
recent years. The objective of this research is to analyze the Williamson Magneto …

The physical significance of this study stems from a complex fluid dynamics situation that
takes note of several real-world aspects. It is essential to figure out how hybrid nanofluids …