Enhanced diffusion of a needle in a planar array of point obstacles
Felix Höfling1, Erwin Frey, Thomas Franosch
1Arnold Sommerfeld Center for Theoretical Physics (ASC) and Center for NanoScience (CeNS), Fakultät für Physik, Ludwig-Maximilians-Universität München, Theresienstrasse 37, Munich, Germany.
Transport of rods in dense obstacle arrays speeds up with density, showing a power-law divergence. This phenomenon is linked to a novel time scale and zigzag motion, explained by a scaling argument.
Area of Science:
- Physics
- Materials Science
- Chemical Engineering
Background:
- Investigating particle transport in confined and crowded environments is crucial for understanding complex fluid dynamics.
- Steric hindrance in dense liquids significantly impacts molecular motion and diffusion.
- Simulating rod-like particle dynamics provides insights into anisotropic systems.
Purpose of the Study:
- To investigate the transport dynamics of a hard rod in a dense, random array of point obstacles.
- To understand the relationship between system density and particle diffusion.
- To identify the underlying mechanisms governing hindered transport.
Main Methods:
- Molecular dynamics simulations were employed to model the system.
- The study focused on an infinitely thin, hard rod within a random, dense obstacle array.
- Analysis included diffusion coefficient, velocity autocorrelation, and non-Gaussian parameter.
Main Results:
- Transport becomes faster at higher densities, exhibiting a power-law divergence of the diffusion coefficient (exponent 0.8).
- A new divergent time scale was identified, associated with zigzag motion.
- A two-step decay in velocity-autocorrelation and a negative plateau in the non-Gaussian parameter were observed.
Conclusions:
- The study reveals a non-intuitive increase in transport speed with density in sterically hindered systems.
- The observed phenomena are linked to a novel emergent time scale and specific motion patterns.
- A heuristic scaling argument supports the derived exponent for the diffusion coefficient divergence.
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