Submission Deadline: 31 March 2026 View: 1374 Submit to Special Issue
Prof. Dr. Safia Akram
Email: drsafiaakram@mcs.edu.pk
Affiliation: MCS, National University of Sciences and Technology, Islamabad 44000, Pakistan
Research Interests: fluid mechanics, heat and mass transfer, nanoparticle dynamics within biological environments, AI
Dr. Arshad Riaz
Email: arshad-riaz@ue.edu.pk
Affiliation: Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan
Research Interests: partial differential equations, Newtonian and non-Newtonian fluids, Artificial Neural Networks (ANNs)
In recent decades, the study of biological nanofluids has gained significant momentum due to their multifaceted applications in biomedical engineering, drug delivery, hyperthermia treatment, lab-on-a-chip systems, and biosensors. Nanofluids, which are engineered colloidal suspensions of nanoparticles in base fluids, exhibit enhanced thermal and rheological properties. When such fluids are modeled within biological contexts, especially through non-Newtonian frameworks, the resulting flow characteristics become more realistic and valuable for physiological and clinical simulations.
The mathematical and computational modeling of biological nanofluids allows researchers to predict, control, and optimize fluid behavior under various physical and chemical constraints, such as magnetic fields, thermal radiation, peristaltic motion, and chemical reactions. With the emergence of artificial intelligence (AI) and machine learning (ML) techniques, a paradigm shift is underway—traditional analytical and numerical methods are now being complemented or accelerated by AI-based approaches for solving complex flow problems with greater efficiency and predictive accuracy.
This Special Issue aims to bring together cutting-edge research at the intersection of computational fluid dynamics, biological nanofluid modeling, and AI-enhanced simulations. It will serve as a platform for researchers, engineers, and applied mathematicians to showcase innovative models, simulation techniques, and AI-based strategies to study and control the behavior of biological nanofluids in complex flow systems.
To guide potential contributors, the Special Issue welcomes submissions on (but not limited to) the following themes:
· Computational analysis for Modeling Nanofluid Flows
· Magneto-Peristaltic Transport in Nanofluidic Biological Systems
· Double-Diffusive and Thermally Radiative Effects in Biomedical Nanofluids
· Non-Newtonian Models for Blood-based Nanofluids
· Entropy Generation and Irreversibility Analysis in Bio-Nano Systems
· Computational Simulation of Drug Delivery Using Nanofluids
· Hybrid Nanofluids in Tumor Treatment and Hyperthermia Therapy
· Bio-Inspired Nanofluid Flow in Microchannels and Lab-on-a-Chip Devices
· Numerical Solutions via FEM, FDM, and Spectral Methods for Biological Flows
· Neural Network Surrogates for Real-Time Prediction of Flow and Heat Transfer
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