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Deep learning investigation of ternary hybrid nanofluid flow with nonlinear heat source-sink and Cattaneo-Christov heat flux model with Joule effect

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Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanoengineering and Nanosystems

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems, Ahead of Print.
This study aims to develop a supervised learning artificial recurrent neural network algorithm supported by Levenberg-Marquardt (ARNN-LM) to analyze the impact of physical parameters, including Magnetic parameter Ma, factor pertaining thermal radiation Nr,...