About this Research Topic
Nanoparticles are of great scientific interest as their utility can fill the gap between bulk materials and atomic or molecular structures. Nanoparticles often possess unexpected physical, magnetic, optical and electrical properties. Basically, structure-wise they are very small in size and due to this they confine their electrons and produce quantum effects. Fundamental and basic aspects of nanoparticles have been investigated in depth during the last few decades. However, the evolution of technology and the recent developments in the field invite for further research on the characteristics of nanoparticles and their applications, in particular, a thorough exploration of nanoparticles’ nonlinear dynamical behavior. With a view on potential applications, the present Research Topic is focused on the mathematical aspects of nanoparticles and multi physics-multi scale based modeling using corresponding numerical simulation to understand their dynamics such as transport through an incompressible fluid. It will be also dedicated to addressing the increasing effects of Brownian motion, Thermophoresis, and magnetic field strength due to increased thickness of the thermal boundary layer.
The present Research Topic aims to bring together researchers working on: Mathematical modeling of emulsification of nanofluids (suspension of nanoparticles in a base fluid such as water, ethanol, etc.); numerical simulation of Brownian motion of nanoparticles by a coupled Langevin dynamics oriented Lattice Boltzmann mesoscopic model; a lattice structure of D3Q19 of Lattice Boltzmann with single relaxation and multi relaxation time; various types of boundary conditions such as ordinary boundary condition, periodic boundary condition, and bounce back boundary condition of Lattice Boltzmann model; the viscoelastic property of nanofluids for reducing effect on the thickness of the thermal boundary layer; or heat and mass transfer flow of a viscoelastic nanofluid over a stretching or shrinking sheet with slip condition using coupled Lattice Boltzmann – Langevin dynamics models.
Furthermore, we aim to attract the latest findings on the potential applications of nanofluids and nanomaterials. In particular, the study of the dynamical behavior of nanoparticles in human blood as a feasible model for cancer therapy; as well as the potential utility of nanofluids as a coolant candidate for thermal management system of next-generation high heat dissipation electronic systems and also the future generation of nuclear reactors.
This Research Topic will collect current research findings on Nanoparticles dynamical methods including, but not limited to:
• Nanoparticles dynamical methods to solve models in science and engineering governed by non-linear ordinary differential equations
• Nanoparticles dynamical methods to solve models in science and engineering governed by non-linear partial differential equations
• Nanoparticles dynamical methods to solve real-life models governed by systems of differential equations
• Numerical treatment for scientific problems.
• Nanoparticles dynamical methods for mathematical models in agricultural science.
• Nanoparticles dynamical methods for mathematical models on current issues in society.
• Nanoparticles dynamical methods of mathematical models in natural and health science.
• Brownian Dynamics of Nano Particles using Multiscale Multiphysics Lattice Boltzmann Simulation Coupled with Langevin Dynamics to Investigate Structural Stability of Blood Vessel
• Bifurcation and Wavelet Simulation Inference of Nanoparticle
Keywords: Nanoparticles, Nanomaterials, Dynamics, Mathematical models, Differential equations
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