A machine learning-based model to estimate the density of nanofluids of nitrides in ethylene glycol-Reference-Cited by-同舟云学术

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A machine learning-based model to estimate the density of nanofluids of nitrides in ethylene glycol

Published:2020-05-29 Issue:20 Volume:127 Page:205105
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Sahaluddin Mirza¹,Alade Ibrahim Olanrewaju²^ORCID,Oyedeji Mojeed Opeyemi³,Aliyu Umar Sa'ad⁴

Affiliation:

1. Department of Mechanical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

2. Department of Information Systems and Operations Management, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

3. Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

4. Department of Physics, Faculty of Science, Federal University Lafia, PMB 146, Lafia, Nasarawa State, Nigeria

Funder

King Fahd University of Petroleum and Minerals

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0002753

Reference66 articles.

1. Recent advances in preparation methods and thermophysical properties of oil-based nanofluids: A state-of-the-art review

2. Applications of nanofluids in solar energy: A review of recent advances

3. A review on preparation, characterization, properties and applications of nanofluids

4. Modeling and prediction of the specific heat capacity of Al2 O3/water nanofluids using hybrid genetic algorithm/support vector regression model

5. Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

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