Machine learning analysis for two phase flow of manganese zinc ferrite and nickel zinc ferrite in dusty hybrid nanofluid applications of melting heat
This study employs a neural network based on the back-propagated Levenberg–Marquardt algorithm to explore the impacts of melting heat on gyrotactic bacteria in the two-phase flow of a MnZnFe2O4-NiZnFe2O4/Water-based dusty hybrid nanofluid across a sheet, taking Soret and Dufour importance into consideration. The effici...