An evolutionary-based neural network approach to investigate heat and mass transportation by using non-Fourier double-diffusion theories for Prandtl nanofluid under Hall and ion slip effects-Reference-Cited by-同舟云学术

An evolutionary-based neural network approach to investigate heat and mass transportation by using non-Fourier double-diffusion theories for Prandtl nanofluid under Hall and ion slip effects

Published:2023-12-17 Issue:12 Volume:138 Page:
ISSN:2190-5444
Container-title:The European Physical Journal Plus
language:en
Short-container-title:Eur. Phys. J. Plus

Author:

Habib Shazia,Islam Saeed,Khan Zeeshan,Waseem ^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,Fluid Flow and Transfer Processes

Link

https://link.springer.com/content/pdf/10.1140/epjp/s13360-023-04740-5.pdf

Reference36 articles.

1. S. Faghiri, S. Akbari, M.B. Shafii, K. Hosseinzadeh, Hydrothermal analysis of non-Newtonian fluid flow (blood) through the circular tube under prescribed non-uniform wall heat flux. Theor. Appl. Mech. Lett. 12(4), 100360 (2022)

2. M.M. Gulzar, A. Aslam, M. Waqas, M.A. Javed, K. Hosseinzadeh, A nonlinear mathematical analysis for magneto-hyperbolic-tangent liquid featuring simultaneous aspects of magnetic field, heat source and thermal stratification. Appl. Nanosci. 10, 4513–4518 (2020)

3. K. Hosseinzadeh, M.R. Mardani, M. Paikar, A. Hasibi, T. Tavangar, M. Nimafar, D.D. Ganji, M.B. Shafii, Investigation of second grade viscoelastic non-Newtonian nanofluid flow on the curve stretching surface in presence of MHD. Results Eng. 17, 100838 (2023)

4. P.S. Reddy, A.J. Chamkha, Soret and Dufour effects on unsteady MHD heat and mass transfer from a permeable stretching sheet with thermophoresis and non-uniform heat generation/absorption. J. Appl. Fluid Mech. 9(5), 2443–2455 (2016)

5. K. Ramesh, M. Gnaneswara Reddy, M. Devakar, Biomechanical study of magnetohydrodynamic Prandtl nanofluid in a physiological vessel with thermal radiation and chemical reaction. Proc. Inst. Mech. Eng. Part N J. Nanomater. Nanoeng. Nanosyst. 232(4), 95–108 (2018)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial neural networks (ANNs) in an Electroosmosis-Controlled Darcy-Forchheimer flow for the Casson nanofluid model over stretching sheet;International Journal of Heat and Fluid Flow;2024-10

2. Dynamics of nanoparticle radius and inter-particle spacing on the nanofluid flow over an extending sheet with Cattaneo–Christov heat flux and inclined magnetic field impacts;The European Physical Journal Plus;2024-09-08

3. A Reliable Bayesian Regularization Neural Network Approach to Solve the Global Stability of Infectious Disease Model;Knowledge-Based Systems;2024-09

4. Exploring hybrid Sisko nanofluid on a stretching sheet: an improved cuckoo search-based machine learning approach;The European Physical Journal Plus;2024-08-26

5. Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm;Open Physics;2024-01-01