Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks

Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks

Abstract In this paper, a new numerical technique was developed to investigate magnetohydrodynamic (MHD) flow of Williamson nanofluid past a nonlinear stretching surface imbedded in a porous medium laden with Soret and Dufour effects. The control equations, which are highly nonlinear partial differe...

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Bibliographic Details
Main Authors: Khalid Arif, Syed Tauseef Saeed, Muhammad Naeem Aslam, Jihad Younis, Arshad Riaz, Salman Saleem
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Morlet wavelet neural networks
Heuristic optimization
Magneto hydrodynamics (MHD)
Williamson nanofluid
Soret and Dufour effects
Online Access:https://doi.org/10.1038/s41598-025-06912-y
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https://doi.org/10.1038/s41598-025-06912-y

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