Modeling thermal conductivity of nanofluids using advanced correlative approaches: Group method of data handling and gene expression programming-Reference-Cited by-同舟云学术

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Modeling thermal conductivity of nanofluids using advanced correlative approaches: Group method of data handling and gene expression programming

Published:2022-02 Issue: Volume:131 Page:105818
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

Hadavimoghaddam Fahimeh,Atashrouz Saeid,Rezaei Farzaneh,Munir Muhammad Tajammal,Hemmati-Sarapardeh Abdolhossein,Mohaddespour Ahmad

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference102 articles.

1. Modeling the thermal conductivity of ionic liquids and ionanofluids based on a group method of data handling and modified Maxwell model;Atashrouz;Ind. Eng. Chem. Res.,2015

2. Experimental studies on the viscosity of TiO2 and Al2O3 nanoparticles suspended in a mixture of ethylene glycol and water for high temperature applications;Yiamsawas;Appl. Energy,2013

3. Estimation of the viscosity of nine nanofluids using a hybrid GMDH-type neural network system;Atashrouz;Fluid Phase Equilib.,2014

4. Nanofluids: from vision to reality through research;Choi;J. Heat Transf.,2009

5. Nanodiamond nanofluids for enhanced thermal conductivity;Branson;ACS Nano,2013

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1. On the evaluation of surface tension of biodiesel;Scientific Reports;2024-08-06

2. Toward predicting thermal conductivity of hybrid nanofluids: Application of a committee of robust neural networks, theoretical, and empirical models;Powder Technology;2024-03

3. Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network;International Journal of Hydrogen Energy;2024-03

4. Toward smart correlations for predicting in-situ stress: Application to evaluating subsurface energy structures;Geoenergy Science and Engineering;2023-12

5. Development of a neural architecture to predict the thermal conductivity of nanofluids;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-11-24

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