A Novel Paradigm for Predicting Thermal Analysis of Electro-magnetohydrodynamic Ternary Nanofluid Flow Using Machine Learning Approach
This investigation addresses an important gap in the current literature on nanofluids, particularly regarding their interactions and associated computational models. The aim of presented study is to integrate artificial intelligence (AI) and machine learning (ML) techniques with computational fluid dynamics (CFD) to an...