J. Prakash, Dharmendra Tripathi
ABSTRACT This study numerically investigates the electromagnetic effect on micropolar fluid flow and heat transfer over a stretching sheet with a melting surface and viscous dissipation using an artificial neural network (ANN)‐bvp4c approach. The objective is to examine the coupled influence of electromagnetic fields and micropolar fluid behavior on flow and thermal characteristics. The governing equations are solved using ANN and validated with the bvp4c solver to ensure the accuracy and reliability. The novelty of the present work lies in the combined analysis of electromagnetic effect, melting heat transfer, and micropolar fluid dynamics, along with a comparative assessment of ANN and bvp4c methods for boundary value problems (BVPs). The effects of key parameters, including magnetic parameter, electric field parameter, micropolar parameter, Reynolds number, and melting parameter are analyzed. The results reveal that a higher magnetic parameter reduces the fluid velocity due to enhanced resistive Lorentz force, while the electric field parameter and Hall current significantly influence the linear and angular velocities. The velocity profiles indicate that an increase in the micropolar material constant results in lower fluid velocities due to enhanced resistance. Higher melting parameter values reduce both linear velocity and angular momentum, and modify the thermal boundary layer. Comparative results show the excellent agreement between ANN and bvp4c solutions, which confirms the accuracy of the present analysis. Additionally, variations in skin friction and Nusselt number highlight the influence of electromagnetic and thermal parameters on heat transfer characteristics. These findings are relevant to polymer processing, cooling technologies, and magnetohydrodynamic (MHD) applications.