The dominating features of new class of tri-hybrid nanofluid like that more heat transport
rates, thermal conductivity and good electrical, and low cost had been favorably attractive …

Current work explores the intricacies of magnetohydrodynamic and mix convectional
boundary-layer flow concerning couple stress Casson nanofluid (CSCNF) dynamics via a …

The study of heat transfer in fluid flows across permeable media is critical in many
engineering applications, including energy systems, cooling technologies, and chemical …

In the present exploration, entropy production on hydromagnetic pulsating flow of Au+
SWCNT/blood and Au+ MWCNT/blood-based Jeffrey hybrid nanofluid in a vertical porous …

Artificial neural networks have revolutionized machine learning by providing exceptional
capabilities for modeling complicated mechanisms and solving various challenges …

Thermal enhancement of engine oil plays an important role in a variety of industrial
applications including heat exchangers, automotive cooling systems, renewable energy …

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 …

Advanced techniques are used to enhance the efficiency of the energy assets and maximize
the appliance efficiency of the main resources. In this view, in this study, the focus is paid to …

The present work deals the temperature transmission of wetted rectangular porous fins of
fixed length with an adiabatic tip under Local Thermal Non-Equilibrium (LTNE) model is …

Peristaltic flow of nanofluid with temperature-dependent thermal conductivity is investigated.
Variation of effective thermal conductivity of nanofluids with temperature is addressed …