The technique of Levenberg–Marquardt back propagation with neural networks (TLMB-NN)
was used in this research article to investigate the heat transfer of Maxwell base fluid flow of …

It is imperative to investigate the proposed computational scheme for the resolution of two-
dimensional partial differential equations that result from non-Newtonian nanofluid flow over …

The present analysis concentrates on the heat transfer analysis in the two-dimension
viscoelastic fluid flow over an exponential stretching sheet. The medium is taken to be …

This work addresses the stagnation point flow of carbon nanotubes over an impermeable
stretching cylinder with homogeneous-heterogeneous reactions. Modern heat transfer …

The present works focus on the effects of electric and magnetic fields on the flow of micro-
polar nano-fluid between two parallel plates with rotation under the impact of Hall current …

In this article, the Levenberg-Marquardt back propagation technique under the framework of
neural networks (LMBT-NN) is incorporated. The heat and mass transfer characteristics of …

Bi-directional unsteady flow of nanomaterial has been explored in the existence of Cattaneo-
Christov double diffusion. Brownian motion, thermophoresis and heat sources namely PST …

Ternary nanofluids have been show cased to substantially enhance the thermal conductivity
and heat transfer attributes of base fluids when compared to ordinary fluids, nanofluids, and …

The problem of unsteady nanofluid flow over a bidirectional stretched surface embedded in
a porous medium with a magnetic field in the boundary layer region is studied. Brownian …

This article addresses the effects of homogenous–heterogeneous reactions on electrically
conducting boundary layer fluid flow and heat transfer characteristics over a stretching sheet …