Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm-Reference-Cited by-同舟云学术

Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm

Published:2022-12 Issue: Volume:80 Page:427-444
ISSN:0577-9073
Container-title:Chinese Journal of Physics
language:en
Short-container-title:Chinese Journal of Physics

Author:

Shafiq Anum,Çolak Andaç Batur^ORCID,Sindhu Tabassum Naz

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference47 articles.

1. A Newton-Krylov finite volume algorithm for the power-law non-Newtonian fluid flow using pseudo-compressibility technique;Nejat;J. Non-Newton. Fluid Mech.,2011

2. Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling;Shafiq;Sci. Rep.,2021

3. Optimal homotopic exploration of features of cattaneo-christov model in second grade nanofluid flow via Darcy-forchheimer medium subject to viscous dissipation and thermal radiation;Rasool;Combin. Chem. High Throughput Screen.,2021

4. Designing artificial neural network of nanoparticle diameter and solid–fluid interfacial layer on single-walled carbon nanotubes/ethylene glycol nanofluid flow on thin slendering needles;Shafiq;Internat. J. Numer. Methods Fluids,2021

5. Significance of rosseland’s radiative process on reactive maxwell nanofluid flows over an isothermally heated stretching sheet in the presence of Darcy–Forchheimer and Lorentz forces: towards a new perspective on Buongiorno’s model;Rasool;Micromachines,2022

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