Development of an intelligent computing system using neural networks for modeling bioconvection flow of second-grade nanofluid with gyrotactic microorganisms-Reference-Cited by-同舟云学术

Development of an intelligent computing system using neural networks for modeling bioconvection flow of second-grade nanofluid with gyrotactic microorganisms

Published:2023-10-27 Issue: Volume: Page:1-18
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Shafiq Anum¹²,Çolak Andaç Batur³^ORCID,Sindhu Tabassum Naz⁴

Affiliation:

1. School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China

2. Jiangsu International Joint Laboratory on System Modeling and Data Analysis, Nanjing University of Information Science and Technology, Nanjing, China

3. Information Technologies Application and Research Center, Istanbul Ticaret University, Istanbul, Türkiye

4. Department of Statistics, Quaid- i- Azam University, Islamabad, Pakistan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,Modeling and Simulation,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2023.2273512

Reference19 articles.

1. Nanofluids Research: Key Issues

2. The onset of nanofluid bioconvection in a suspension containing both nanoparticles and gyrotactic microorganisms

3. Nanofluid bio-thermal convection: simultaneous effects of gyrotactic and oxytactic micro-organisms

4. Mixed convection flow over a solid sphere embedded in a porous medium filled by a nanofluid containing gyrotactic microorganisms

5. Magnetohydrodynamic second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms

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