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Updated: Apr 27, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
Published on: May 1, 2018
Communication: relative diffusion in two dimensions: breakdown of the standard diffusive model for simple liquids
Marek Litniewski1, Jerzy Gorecki1
1Institute of Physical Chemistry of the Polish Academy of Science, Kasprzaka 44/52, 01-224 Warsaw, Poland.
Molecular dynamics simulations reveal that diffusion constants in 2D and 3D systems depend on system size. The standard Smoluchowski model assumption leads to significant errors when applied to two-dimensional systems.
Area of Science:
- Soft matter physics
- Computational physics
Background:
- Diffusion is a fundamental process in physical and chemical systems.
- Understanding diffusion in different dimensions is crucial for modeling various phenomena.
Purpose of the Study:
- To analyze the relative diffusion constant (DΣn(r)) and self-diffusion constant (Dn) in two (n=2) and three (n=3) dimensions using molecular dynamics simulations.
- To investigate the system size dependence of diffusion constants under periodic boundary conditions.
- To evaluate the applicability of the standard Smoluchowski model assumption (DΣn(r) ≈ 2Dn) in different dimensions.
Main Methods:
- Molecular dynamics simulations of identical soft spheres.
- Analysis of relative diffusion constant DΣn(r) and self-diffusion constant Dn.
- Varying interparticle distance (r) and system size (L).
Main Results:
- Self-diffusion constant (Dn) is a function of system size (L) in both 2D and 3D.
- The relation DΣn(r = L/2) ≅ 2Dn(L) holds for both n=2 and n=3.
- In 2D, diffusion constants increase logarithmically with their argument, but are highly sensitive to perturbations, limiting their growth in large systems.
- The standard Smoluchowski assumption (DΣn(r) ≈ 2Dn) leads to significant errors for n=2.
Conclusions:
- The system size dependence of diffusion constants must be considered, especially in 2D.
- The commonly used Smoluchowski model assumption is not universally applicable and can lead to substantial inaccuracies in two-dimensional systems.
- Further research is needed to develop more accurate models for diffusion in low-dimensional systems.
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