Exploring double-diffusive nanofluid flow in divergent/convergent nondarcy porous space: A machine learning numerical approach with zero mass flux-Reference-Cited by-同舟云学术

Exploring double-diffusive nanofluid flow in divergent/convergent nondarcy porous space: A machine learning numerical approach with zero mass flux

Published:2024-05-19 Issue: Volume: Page:1-23
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Aslam Muhammad Naeem¹²,Shaukat Nadeem¹²,Riaz Arshad³^ORCID,Duraihem Faisal Z.⁴,Sultana Hafeez⁵

Affiliation:

1. Department of Physics and Applied Mathematics (DPAM), Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad

2. Center for Mathematical Sciences (CMS), Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad

3. Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan

4. Department of Mathematics, College of science, King Saud university, Riyadh, Saudi Arabia

5. Department of Mathematics College of Science, Jazan University, Jazan, Saudi Arabia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2024.2350690

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