Machine learning and artificial intelligence in heat transfer enhancement

This chapterhighlights the potential applications of artificial intelligence (AI) and machine learning (ML) in advancing nanofluids heat transfer research. Key advancements include the prediction of heat transfer coefficients and thermophysical properties, optimization of nanofluid formulations, and enhanced analysis of flow and heat transfer behavior. AI and ML also enable real-time system control, fault detection, accelerated simulations and computational fluid dynamics, and energy efficiency assessments, as well as the discovery of novel nanofluids. The integration of AI and ML in nanofluids heat transfer research have shown promising potential in solving the complex problems. The future challenges and research directions are also highlighted in this chapter.