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Machine learning approach on chemical species and thermal management in Ellis’s fluid considering hall currents and thermal jumps across sphere via Taguchi analysis

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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.
The schemed article explores the robust application of machine learning (ML) approach to investigate the chemical species demeanor along with thermal management toward the Ellis’s Fluid, specifically focusing on the characteristics of Hall current ...