While machine learning has become the new way of analyzing data, neutral networks form
the basis of this revolutionary technology. In this work, we shall employ the power of neural …

Accurate prediction of the thermal conductivity of ethylene glycol (EG) and aluminum oxide
(Al2O3) nanofluids is crucial for improving the utilization rate of energy in industries such as …

The transient plane heat source method (TPS), also known as the hot disc method, is an
experimental method for determining the thermal transport properties of materials. The …

This study explores the intricate interaction of thermal radiation, chemical reactions,
Brownian motion, and thermophoresis on heat and mass transfer within a magnetic …

In thermal engineering, predicting nanofluid thermophysical properties is essential for
efficient cooling systems and improved heat transfer. Traditional methods often fall short in …

Nanofluids serve as a working medium in many state-of-the-art heating and cooling systems,
where natural convection is a primary medium of thermal energy transfer. Based on the …

Over the last few years, various nanofluids have been produced by suspending nonmetallic
nanometer-sized solid particles (˂ 100 nm) in heat transfer fluids like water, and ethylene …