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Ish: Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review
A state of the art review on viscosity of nanofluids
S. M. Sohel Murshed, Patrice Estellé
Maqola20173 iqtibosABIMulti-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks
Reza Rostamzadeh‐Renani, Dheyaa J. Jasim, Mohammadreza Baghoolizadeh +4
Maqola20233 iqtibosABIA review on application of nanofluid in various types of heat pipes
Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Milad Sadeghzadeh +2
Sharh maqola20193 iqtibosABIOn the viscosity of a concentrated suspension of solid spheres
N. A. Frankel, Andreas Acrivos
Maqola19673 iqtibosABIRheological behaviour of nanofluids: A review
Anuj Kumar Sharma, Arun Kumar Tiwari, Amit Rai Dixit
Sharh maqola20152 iqtibosABIHydrogen Storage in Single-Walled Carbon Nanotubes at Room Temperature
C. Liu, Yueying Fan, M. Liu +3
Maqola19992 iqtibosABIEvaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications
Asˈad Alizadeh, Khidhair Jasim Mohammed, Ghassan Fadhil Smaisim +5
Maqola20232 iqtibosABI