Guest Editors
Dr. Esraa N. Thabet
Email: mesraa422@gmail.com
Affiliation: Mathematics Department, Faculty of Science, Sohag University, Sohag, Egypt
Homepage:
Research Interests: fluid mechanics, nanofluids, heat and mass transfer, hydrodynamics, computational fluid dynamics (CFD) Simulation, numerical modeling
Summary
This Special Issue highlights recent advances in the physics, modeling, and applications of nanofluids, with a particular focus on energy systems, thermal transport processes, and intelligent computational techniques. It seeks contributions that integrate theoretical, computational, and experimental investigations to elucidate flow behavior, thermophysical properties, and enhancements of heat and mass transport in nanofluids under diverse physical effects. Topics include nanofluid dynamics in conventional and renewable energy systems, phase-change phenomena, thermal management, stability and optimization, and multiscale transport processes.
The Special Issue also emphasizes the growing role of intelligent computation—including data-driven modeling, machine learning, and hybrid analytical–numerical approaches—for predicting nanofluid behavior and improving system performance.
The goal is to gather high-quality contributions that provide fundamental insights supporting the design, optimization, and efficient application of nanofluids in modern thermal and energy engineering systems. Topics of interest include, but are not limited to:
· Fundamental physics and nanoscale transport phenomena in nanofluids
· Thermal transport mechanisms and heat transfer enhancement
· Thermophysical properties, stability, and rheology
· Flow and transport behavior in porous media and complex geometries
· Applications in conventional and renewable energy systems
· Phase-change and multiphase nanofluid flows
· Effects of external fields (magnetic, electric, radiation) on nanofluid dynamics
· Advanced analytical and numerical modeling
· Data-driven and machine learning approaches for nanofluid analysis
· Optimization, control, and performance enhancement of nanofluid-based systems
Keywords
non-newtonian nanofluids; heat and mass transfer; multiphase flow; porous media; magnetohydrodynamics; numerical simulation; analytical modeling; intelligent computation; machine learning and data-driven modeling; optimization and sustainable energy systems
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