In present study, the nano-material flow of Ree-Eyring fluid model (NF-REFM) is examined
by utilizing the technique of Levenberg Marquardt with backpropagated neural networks …

In this research article, artificial neural networks back-propagated with Levenberg Marquardt
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …

With inspired thermal characteristics and dynamic applications of nanoparticles, the
researchers are motivated to suggest multidisciplinary significances of nano-materials in …

The purpose of this study is to investigate the heat and mass transfer of
magnetohydrodynamics (MHD) Williamson nanofluid in a porous medium with Cattaneo …

A novel theoretical model is devised for electro osmotic flow of Williamson fluid model by
incorporating heat transfer phenomena in a micro ciliated channel. The physical fluid model …

This paper presents an analytical approach on capturing the effect of incompressible, non-
Newtonian, viscous, Casson nanofluid flow past a stretching/shrinking surface, under the …

This article investigates the impact of radially varying magnetic field during the peristaltically
flowing nanofluid in a finite flexible tube. The inner surface of axisymmetric tube is filled with …

Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …

Recently, the applications of artificial intelligence through soft computing and machine
learning algorithms have become the focal point of researcher's consideration on account of …

Rheology of MHD bioconvective nanofluid containing motile microorganisms is inspected
numerically in order to analyze heat and mass transfer characteristics. Bioconvection is …