Nanofluid has been found exceptionally suitable in several heat transfer applications as a
working fluid due to its excellent thermophysical properties. Enhancement in thermophysical …

Nanofluids (NFs) incorporation has emerged as a pivotal advancement in the realm of
technology. With the advancement in technology, new segments of NFs are introduced …

Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

The present study is a pure experimental investigation of the viscosity and rheological
properties of the Al 2 O 3-Fe 2 O 3 hybrid nanofluid and the development of a new …

The rheological and thermal behavior of nanofluids in real-world scenarios is significantly
affected by their thermophysical properties (TPPs). Therefore, optimizing TPPs can …

Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …

The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …

Abstracts The current work employs two modern ensemble machine learning algorithms,
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …

Hybrid nanofluids are gaining popularity owing to the synergistic effects of nanoparticles,
which provide them with better heat transfer capabilities than base fluids and normal …

Nanofluids have gained tremendous research interests in diverse fields of study due to their
improved properties, especially as heat transfer fluids. Numerous studies have revealed the …