https://doi.org/10.1140/epjb/s10051-025-01087-x
Research - Statistical and Nonlinear Physics
Artificial neural network framework for MHD micropolar nanofluid flow over stretching surfaces with thermal source
1
Department of Mathematics, Erode Arts and Science College, 638009, Erode, Tamil Nadu, India
2
Centre for Nonlinear Systems, Chennai Institute of Technology, 600069, Chennai, Tamil Nadu, India
Received:
19
September
2025
Accepted:
31
October
2025
Published online:
8
November
2025
This study conducts a thorough examination of two-dimensional, incompressible magnetohydrodynamic (MHD) micropolar nanofluid flow over a stretching sheet, with particular attention to internal heat generation and convective boundary conditions. The primary objective is to establish an effective hybrid computational framework that integrates numerical methods with Artificial Neural Networks (ANN) to accurately analyze velocity, temperature, microrotation, and nanoparticle concentration fields within such intricate flow systems. The specific aims include investigating the influence of Brownian motion, thermophoresis, magnetic field strength, and viscoelastic parameters on fluid flow and heat/mass transfer characteristics, as well as assessing the predictive capability of ANN models. The study analyzes two-dimensional MHD micropolar nanofluid flow over a stretching sheet with heat generation and convective boundary conditions, incorporating Brownian motion and thermophoresis effects. Numerical (bvp4c) and ANN approaches reveal reliable predictions for velocity, temperature, and concentration, with applications in biomedical engineering, thermal management, and material processing.
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© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
