[HTML][HTML] A review of recent advances in thermophysical properties at the nanoscale: From solid state to colloids

L Qiu, N Zhu, Y Feng, EE Michaelides, G Żyła, D **g… - Physics Reports, 2020 - Elsevier
Nanomaterials possess superior optical, electrical, magnetic, mechanical, and thermal
properties, which have made them suitable for a multitude of applications. The present …

Comprehensive study on nanofluid and ionanofluid for heat transfer enhancement: A review on current and future perspective

B Bakthavatchalam, K Habib, R Saidur, BB Saha… - Journal of Molecular …, 2020 - Elsevier
Researches on the improvement of heat transfer using nanofluids, ionanofluids, and
nanofluid assisted devices have gained significant attention worldwide since the previous …

[HTML][HTML] Machine-learning methods for computational science and engineering

M Frank, D Drikakis, V Charissis - Computation, 2020 - mdpi.com
The re-kindled fascination in machine learning (ML), observed over the last few decades,
has also percolated into natural sciences and engineering. ML algorithms are now used in …

A review of nanomaterial incorporated phase change materials for solar thermal energy storage

MA Nazari, A Maleki, MEH Assad, MA Rosen… - Solar Energy, 2021 - Elsevier
Abstract Phase Change Materials (PCMs) have being used in different solar energy systems
for thermal energy storage and performance enhancement. Improving heat transfer from …

An experimental study on dynamic viscosity and thermal conductivity of water-Cu-SiO2-MWCNT ternary hybrid nanofluid and the development of practical correlations

A Dezfulizadeh, A Aghaei, AH Joshaghani… - Powder Technology, 2021 - Elsevier
In the present work, an experimental study has been carried out to investigate dynamic
viscosity (μ nf) and thermal conductivity (k nf) of Cu-SiO 2-MWCNT/water ternary hybrid …

An experimental study on thermal conductivity of F-MWCNTs–Fe3O4/EG hybrid nanofluid: effects of temperature and concentration

SS Harandi, A Karimipour, M Afrand, M Akbari… - … Communications in Heat …, 2016 - Elsevier
In this paper, an experimental study on the effects of temperature and concentration on the
thermal conductivity of f-MWCNTs–Fe 3 O 4/EG hybrid nanofluid is presented. The …

Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs)

S Rostami, D Toghraie, B Shabani, N Sina… - Journal of Thermal …, 2021 - Springer
In this paper, artificial neural networks (ANNs) are developed to predict the thermal
conductivity (k_ nf k nf) of multi-walled carbon nanotubes (MWCNTs)-CuO/water nanofluid …

Develo** dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid

A Akhgar, D Toghraie, N Sina, M Afrand - Powder Technology, 2019 - Elsevier
In this paper, we developed dissimilar artificial neural networks (ANNs) by suitable
architectures and training algorithms via sensitivity analysis to predict the thermal …

Experimental measurements of thermal conductivity of engine oil-based hybrid and mono nanofluids with tungsten oxide (WO3) and MWCNTs inclusions

F Soltani, D Toghraie, A Karimipour - Powder Technology, 2020 - Elsevier
In this study, an experimental analysis was used to measure the thermal conductivity (k nf) of
WO 3-MWCNTs/Engine Oil hybrid nanofluids, and a new significance was established. The …

A new correlation for predicting the thermal conductivity of ZnO–Ag (50%–50%)/water hybrid nanofluid: an experimental study

NN Esfahani, D Toghraie, M Afrand - Powder Technology, 2018 - Elsevier
In this paper, a two-stage method, along with an ultrasonic device, a magnetic mixture, and
acidity control technique were used to produce ZnO-Ag/water nanofluid and the test results …