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What is AI-Driven Optimization of Fluid Dynamics about?

This study explores the optimization of heat and mass transfer in exothermic reactive fluids using advanced numerical methods and artificial neural networks (ANNs). It investigates the mixed convective flow of a Jeffery fluid over a slender sheet, incorporating factors such as thermal radiation, heat generation, and chemical reactions, with results demonstrating high accuracy in modeling. The findings provide insights into the effects of various physical parameters on fluid dynamics, establishing a robust A

Author

Shahzad Khattak

Language

EN