Assist. Prof. Dr. Farhan Lfta Rashid Al-Taie, Head of the Department of Petroleum Engineering at the University of Kerbala, collaborated with some researchers from foreign universities to publish a scientific paper in an international journal. This research is notable for integrating machine learning algorithms to assess the impact of magnetic fields on the dynamics of vortices in hybrid nanofluid flow by incorporating both vertical and horizontal magnetic field strips. The results showed that magnetic fields influence stress distribution in the flow pattern and the temperature distribution. Furthermore, the presence of a magnetic field affects the stress distribution. This study recommends further exploration into the complex relationship between the nanoparticle size ratio and the thermal properties of hybrid tetra-based nanofluids, emphasizing the need for a comprehensive optimization framework that combines machine learning techniques with experimental validation. It also suggests incorporating advanced predictive models to enhance understanding of thermal management in various engineering applications, focusing on the effects of external magnetic fields on fluid dynamics
