Artificial Intelligence-Enhanced Thermal and Mass Transport Analysis of Rotating Hybrid Nanofluid induced by autocatalytic reaction via MHD Effects

This work investigates the thermal and flow properties of a rotating hybrid nanofluid comprising TiO 2 – Ag nanoparticles in a water-ethylene glycol matrix across a linearly extending sheet, emphasising dissipative heat effects under magnetohydrodynamic (MHD) conditions. An essential innovation involves the amalgamation of the Fourier numerical approach with the XGBoost machine learning model to forecast and examine intricate heat and mass transfer phenomena. The model incorporates viscous and o