Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network-Reference-Cited by-同舟云学术

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Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network

Published:2021-10 Issue: Volume:149 Page:111341
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Shi Lei,Zhang Shuai,Arshad Adeel,Hu Yanwei,He Yurong,Yan Yuying

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Xi'an Eurasia University

National Key Research and Development Program of China Stem Cell and Translational Research

Harbin Institute of Technology

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference157 articles.

1. Numerical study of convective heat transfer of nanofluid: a review;Vanaki;Renew Sustain Energy Rev,2016

2. Review of the mechanisms responsible for heat transfer enhancement using nanofluids;Pinto;Appl Therm Eng,2016

3. Harvesting energy from low-grade heat based on nanofluids;Xu;Nanomater Energy,2012

4. Review on clay mineral-based form-stable phase change materials: preparation, characterization and applications;Lv;Renew Sustain Energy Rev,2017

5. The enhancement of effective thermal conductivity and effective dynamic viscosity of nanofluids-a review;Azmi;Renew Sustain Energy Rev,2016

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