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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Random-walk approach to the d-dimensional disordered Lorentz gas
1Laboratory of Chemical Physics, NIDDK, NIH, Bethesda, MD 20892-0520, USA. adiba@mail.nih.gov
This study presents an analytic expression for diffusion in disordered media using a correlated random walk. The findings offer an Enskog-like correction to Boltzmann predictions, improving accuracy across densities and dimensions.
Area of Science:
- Physics
- Statistical Mechanics
- Computational Physics
Background:
- Diffusion in disordered media is crucial for understanding transport phenomena.
- Existing models like Boltzmann predictions have limitations at higher densities.
- The Lorentz gas serves as a fundamental model for studying transport in random systems.
Purpose of the Study:
- To derive an analytic expression for the diffusion constant in disordered nonoverlapping Lorentz gas.
- To develop an Enskog-like correction to the Boltzmann prediction for diffusion.
- To validate the theoretical predictions through numerical simulations.
Main Methods:
- Application of a correlated random walk approach to diffusion.
- Utilizing the Lu-Torquato theory for chord-length distributions in random media.
- Derivation of an analytic expression for the diffusion constant in d dimensions.
- Comparison with Boltzmann predictions and renormalized kinetic theory.
- Conducting extensive numerical simulations.
Main Results:
- An analytic expression for the diffusion constant in arbitrary dimensions (d) was obtained.
- The derived expression provides an Enskog-like correction to the Boltzmann prediction.
- The results are exact in the dilute limit.
- The predictions show improved or near-exact accuracy compared to renormalized kinetic theory for d=2,3 across all densities.
- Numerical simulations confirmed the validity of the approximations.
Conclusions:
- The correlated random walk approach, combined with chord-length distribution theory, effectively models diffusion in disordered Lorentz gases.
- The derived Enskog-like correction refines Boltzmann predictions, offering better accuracy, especially at higher densities.
- The study provides a robust theoretical framework and numerical validation for diffusion in complex media.
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