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Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of …
In the past decade, nanotechnology's rapid developments have created quite a lot of
prospects for researchers and engineers to check up on. And nanofluids are important …
prospects for researchers and engineers to check up on. And nanofluids are important …
Recent advances on improved optical, thermal, and radiative characteristics of plasmonic nanofluids: Academic insights and perspectives
To enhance the assimilation of light in the solar thermal area, we need to focus beyond the
thermo-physical properties of the nanoparticles, ie, optical properties of the nanoparticles …
thermo-physical properties of the nanoparticles, ie, optical properties of the nanoparticles …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
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 …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine …
A direct sol-gel technique was utilized to produce rGO-Fe 3 O 4-TiO 2 ternary hybrid
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …
Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision …
The rheological and thermal behavior of nanofluids in real-world scenarios is significantly
affected by their thermophysical properties (TPPs). Therefore, optimizing TPPs can …
affected by their thermophysical properties (TPPs). Therefore, optimizing TPPs can …
Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …
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 …
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
[HTML][HTML] Novel treatments for the bioconvective radiative Ellis nanofluids wedge flow with viscous dissipation and an activation energy
This paper aims to examine time-dependent magnetohydrodynamic Ellis nanofluids flow
over a wedge in the presence of the activation energy, thermal radiation and motile oxytactic …
over a wedge in the presence of the activation energy, thermal radiation and motile oxytactic …
Computational methods to simulate molten salt thermophysical properties
T Porter, MM Vaka, P Steenblik… - Communications …, 2022 - nature.com
Molten salts are important thermal conductors used in molten salt reactors and solar
applications. To use molten salts safely, accurate knowledge of their thermophysical …
applications. To use molten salts safely, accurate knowledge of their thermophysical …
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …
renewable and sustainable energy resource generation. A large significant wave height can …