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Random walks on jammed networks: Spectral properties.
Jeremy B Lechman1, Stephen D Bond1, Dan S Bolintineanu1
1Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
This study analyzes diffusive transport in jammed sphere packings. Results reveal unique network properties distinct from homogeneous lattices, with eigenvalue distributions following a power law.
Area of Science:
- Physics
- Materials Science
- Network Science
Background:
- Diffusive transport is crucial in various physical systems.
- Understanding transport on disordered networks is challenging.
- Sphere packings near the jamming transition exhibit complex contact networks.
Purpose of the Study:
- To investigate diffusive transport on networks from compressed sphere packings.
- To analyze the properties of these networks near the jamming transition.
- To distinguish topological from geometric disorder sources.
Main Methods:
- Random walk analysis on particle contact networks.
- Modeling transport as a Markov process using narrow escape time.
- Analysis of the transition rate matrix's spectral density.
Main Results:
- Network structures from jammed particles share similarities with Euclidean lattices but possess unique characteristics.
- The distribution of eigenvalues of the transition rate matrix follows a power law with a spectral dimension of 3.
- Eigenvector statistics reveal subtle differences from homogeneous lattices, enabling distinction between disorder types.
Conclusions:
- Jammed sphere packing networks exhibit complex properties that bridge ordered and disordered systems.
- The spectral analysis provides a method to characterize network disorder.
- This work offers insights into transport phenomena in disordered granular materials.
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