Physical Mathematics

Heilbronn Institute for Mathematical Research, University of Leicester, Leicester, LE1 7RH, UK

Publications

• Mini Review   
  A Review of Artificial Intelligence Methods in Predicting Thermophysical Properties of Nanofluids
  Author(s): John Semeraro*
  
  Nanofluids, colloidal suspensions of nanoparticles in base fluids, exhibit fascinating thermophysical properties that have garnered significant attention in various fields, particularly in thermal engineering and nanotechnology. Accurate prediction of these properties is crucial for their effective utilization in applications such as heat transfer enhancement, cooling systems and advanced manufacturing processes. Traditional methods for predicting nanofluids properties often face challenges due to the complex interactions between nanoparticles and base fluids. In recent years, artificial intelligence (AI) techniques have emerged as promising tools for predicting the thermophysical properties of nanofluids. This article provides a comprehensive review of the application of AI methods, including machine learning and deep learning, in predicting the thermophysical.. Read More»
  DOI: 10.37421/2090-0902.2024.15.464

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