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Related Concept Videos

Boundary Layer Characteristics01:18

Boundary Layer Characteristics

When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the concentration...
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

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Van der Waals Interactions01:24

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Atoms and molecules interact with each other through intermolecular forces. These electrostatic forces arise from attractive or repulsive interactions between particles with permanent, partial, or temporary charges. The intermolecular forces between neutral atoms and molecules are ion–dipole, dipole–dipole, and dispersion forces, collectively known as van der Waals forces.Polar molecules have a partial positive charge on one end and a partial negative charge on the other end of the molecule,...

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Related Experiment Video

Updated: Jun 5, 2026

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

Particle-layering effect in wall-bounded dissipative particle dynamics.

Sergey Litvinov1, Marco Ellero, Xiangyu Hu

  • 1Lehrstuhl für Aerodynamik, Technische Universität München, Garching, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 15, 2011
PubMed
Summary
This summary is machine-generated.

Dissipative particle dynamics (DPD) simulations can cause artifacts near walls. A new DPD method using solidification boundaries and equation-of-state forces reduces these density fluctuations, improving simulation accuracy for polymers near surfaces.

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Published on: February 17, 2019

Area of Science:

  • Computational physics
  • Polymer physics
  • Mesoscopic simulations

Background:

  • Dissipative particle dynamics (DPD) is a mesoscopic simulation technique representing molecular clusters as single particles.
  • DPD's coarse-graining can introduce artifacts, like particle ordering near walls, affecting simulations.
  • These artifacts lead to nonphysical polymer behavior, such as sticking and overextension under shear flow.

Purpose of the Study:

  • To address numerical artifacts in Dissipative Particle Dynamics (DPD) simulations near boundaries.
  • To improve the accuracy of DPD simulations for polymers tethered to surfaces under shear flow.

Main Methods:

  • Implementing a DPD version with a solidification boundary formulation.
  • Utilizing conservative-force interactions derived from the equation of state.
  • Analyzing the reduction of number density fluctuations in the near-wall region.

Main Results:

  • The modified DPD method significantly reduces number density fluctuations near walls.
  • This reduction mitigates artifacts associated with particle ordering in the near-wall region.
  • The approach offers a more physically realistic simulation of polymer behavior near boundaries.

Conclusions:

  • The developed DPD formulation effectively minimizes near-wall artifacts.
  • This advancement enhances the reliability of DPD for simulating complex systems, particularly polymers at interfaces.
  • The method provides a more accurate representation of polymer dynamics in confined environments.