Advanced Fractional Model for Predicting MHD Yield Stress Fluid Flow

Physics, Mechanics, Fluid Physics,
Magnetohydrodynamics   Yield Stress Fluids   Fractional Calculus   Finite Element Method   Non-Newtonian Fluids  

Background In modern scientific and industrial research, the dynamic behavior of non-Newtonian fluids has garnered significant attention due to their unique rheological properties and wide-ranging applications. Unlike Newtonian fluids, non-Newtonian fluids such as polymers, slurries, and biological fluids exhibit complex nonlinear relationships bet...

Heat Transfer Capability Analysis of Hybrid Brinkman-Type Fluid on Horizontal Solar Collector Plate Through Fractal Fractional Operator

Physics, Fluid Physics, Chemistry, Nanoscience, Engineering, Mechanical Engineering, Energy Engineering,
solar collectors   heat transfer   Brinkman-type fluid   fractal fractional operator   hybrid nanoparticles  

Heat Transfer Capability Analysis of Hybrid Brinkman-Type Fluid on Horizontal Solar Collector Plate Research Background and Problem Statement With the growing global demand for clean energy, solar energy, as a renewable, clean, and low-pollution resource, has gained widespread attention. However, traditional solar collectors (such as flat-plate sol...

Three-Dimensional Monitoring of RBC Sedimentation in External Magnetic Fields

Physics, Fluid Physics, Medicine, Hematology, Life Sciences, Biophysics,
red blood cells   sedimentation   magnetic fields   digital holographic microscopy   fluid dynamics   biomedicine   quantitative analysis  

Study on Three-Dimensional Monitoring of Red Blood Cell Sedimentation under External Magnetic Fields: A Novel Scientific Perspective Background and Research Objective With the widespread use of electronic devices in modern society, humans are increasingly exposed to external magnetic fields (MFs) in their living environments. However, the potential...

Lumped Parameter Simulations of Cervical Lymphatic Vessels: Dynamics of Murine Cerebrospinal Fluid Efflux from the Skull

Physics, Fluid Physics, Engineering, Mechanical Engineering, Medicine, Neurology,
cervical lymphatic vessels   lymphatic system   cerebrospinal fluid   traumatic brain injury   numerical simulation   fluid dynamics   intracranial pressure  

Numerical Simulation Study of Cerebrospinal Fluid Drainage through Cervical Lymphatic Vessels Background Introduction Cerebrospinal fluid (CSF) is a clear fluid that circulates around the brain and spinal cord, providing physical protection, nutrient supply, and waste clearance for the central nervous system. In recent years, growing evidence sugge...

Numerical Study of the Effects of Minor Structures and Mean Velocity Fields in the Cerebrospinal Fluid Flow

Physics, Fluid Physics, Engineering, Mechanical Engineering, Medicine, Neurology, Life Sciences, Bioengineering,
cerebrospinal fluid   intrathecal injection   computational fluid dynamics   lagrangian velocity   spinal subarachnoid space   fluid transport   geometric variability  

Study on Cerebrospinal Fluid Flow Dynamics and Its Application in Drug Delivery Background Introduction Cerebrospinal fluid (CSF) plays a crucial role in the human spinal canal, responsible for transporting dissolved nutrients and waste products. Due to its pulsatile nature, CSF flow is influenced by cardiac and respiratory cycles. In recent years,...

On-Demand Zero-Drag Hydrodynamic Cloaks Resolve d'Alembert Paradox in Viscous Potential Flows

Physics, Mechanics, Fluid Physics, Engineering, Mechanical Engineering,
zero-drag   hydrodynamics   cloaking technology   d'Alembert paradox   viscous flows  

Breakthrough in Zero-Drag Hydrodynamic Cloaking Technology Academic Background In modern microfluidics and nanoengineering, invisibility characteristics are crucial for ensuring interference-free interactions between intrusive objects and their surrounding environments. For instance, in microfluidic chips transporting biomolecules or precisely cont...

DualFluidNet: An Attention-Based Dual-Pipeline Network for Fluid Simulation

Physics, Fluid Physics, Information Science, Artificial Intelligence,
fluid simulation   learning physics   neural network   deep learning   point cloud transformation   SPH  

Background and Motivation Understanding fluid motion is crucial for comprehension of our environment and our interactions with it in the field of physics. However, traditional fluid simulation methods face limitations in practical applications due to high computational demands. In recent years, physics-driven neural networks have emerged as a promi...

Synthetic Lagrangian Turbulence by Generative Diffusion Models

Physics, Fluid Physics, Information Science, Artificial Intelligence,
turbulence   diffusion model   Lagrangian particles  

Currently, there are significant challenges in studying the statistical and geometrical properties of particles carried by the fluid in turbulence. Despite outstanding efforts in theory, numerical simulations, and experiments over the past 30 years, there is still a lack of models that can realistically reproduce the statistical and topological fea...