Guest Editors
Dr. Saranya Shekar
Email: sannajshekar7@gmail.com
Affiliation: Department of Mathematical Sciences, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates
Homepage:
Research Interests: numerical analysis, computational fluid dynamics
Prof. Dr. Qasem M. Al-Mdallal
Email: q.almdallal@uaeu.ac.ae
Affiliation: Department of Mathematical Sciences, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates
Homepage:
Research Interests: numerical analysis, computational fluid dynamics
Assist. Prof. P. Ragupathi
Email: ragupathiprs@gmail.com
Affiliation: Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641020, Tamil Nadu, India
Homepage:
Research Interests: fluid dynamics, numerical analysis
Summary
With the growing demand for compact, efficient, and smart thermal systems, nanofluids have emerged as a powerful class of working fluids that enhance heat and mass transfer rates. Recent developments include hybrid and tri-hybrid nanofluids, magnetically responsive suspensions, bio-convective models, and the integration of fractional calculus and AI-assisted simulations.
This special issue aims to capture these evolving trends, providing a platform for interdisciplinary researchers to publish cutting-edge findings that address current challenges and future directions in nano heat and mass transfer.
Scope and Objectives:
This special issue will cover the following subjects:
· Advanced modeling of nanofluid and hybrid nanofluid systems
· Mass transport enhancement in porous, rotating, and oscillating domains
· Role of magnetic fields, radiation, and chemical reactions in nano-transport
· Use of fractional derivatives in thermal and fluid systems modeling
· Machine learning and data-driven methods in heat transfer predictions
· Experimental validation and parametric studies in nano heat exchangers
· Emerging applications in electronics cooling, MEMS, solar collectors, and biomedical systems
Keywords
nanofluid heat transfer, hybrid nanofluids, mass diffusion, thermal systems modeling, smart cooling technologies, AI in thermal engineering, bio-convection, fractional PDEs
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