Structural evolution in the packing of uniform spheres.
1Laboratory for Simulation and Modelling of Particulate Systems, School of Materials Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
This study analyzes common-neighbor-subclusters (CNS) in sphere packings. It identifies 39 CNS types, revealing how their structures evolve with increasing packing density.
Area of Science:
- Physics of atomic and particle systems
- Materials science and condensed matter physics
- Statistical mechanics
Background:
- Understanding the physics of atomic or particle systems requires robust structural analysis.
- Characterizing structures across various packing fractions (ρ) remains a significant challenge in materials science.
- Local structural order significantly influences macroscopic properties in condensed matter systems.
Purpose of the Study:
- To analyze the local structure of sphere packings using common-neighbor-subcluster (CNS) analysis.
- To characterize the types and evolution of CNSs within a wide range of packing fractions (ρ ∈ (0.2, 0.74)).
- To explore the rules governing the structural evolution of CNSs with increasing packing density.
Main Methods:
- Utilized common-neighbor-subcluster (CNS) analysis to probe local atomic arrangements.
- Investigated sphere packings across a continuous range of packing fractions (ρ) from 0.2 to 0.74.
- Quantified the evolution of identified CNS types as a function of packing density.
Main Results:
- Identified a total of 39 distinct common-neighbor-subcluster (CNS) types in sphere packings.
- Found that 12 of these CNS types are dominant across the studied packing fractions.
- Quantified the evolution of these CNSs, revealing distinct patterns as packing density increases.
Conclusions:
- The study provides a detailed classification and evolutionary analysis of local structures in sphere packings.
- The identified dominant CNSs and their evolution offer insights into the critical states and transitions in dense packings.
- This work contributes to a more comprehensive understanding of structure-property relationships in disordered materials.
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