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

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

Reference36 articles.

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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)

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