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Published on: December 4, 2017
Low-frequency vibrations of jammed packings in large spatial dimensions
Masanari Shimada1, Hideyuki Mizuno1, Ludovic Berthier2
1Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan.
Amorphous packings near jamming exhibit non-Debye scaling in vibrational density of states. This scaling holds at lower frequencies as dimensionality increases, aligning with theoretical predictions.
Area of Science:
- Condensed matter physics
- Statistical mechanics
- Materials science
Background:
- Amorphous packings near jamming are crucial for understanding the vibrational properties of glasses.
- Mean-field theories predict a specific power-law scaling (g(ω)∼ω²) for the vibrational density of states at low frequencies, known as non-Debye scaling.
- Previous numerical studies indicated that finite-dimensional effects cause this scaling to break down at very low frequencies.
Purpose of the Study:
- To investigate the validity range of non-Debye scaling in amorphous packings across various spatial dimensions.
- To determine how dimensionality influences the low-frequency vibrational spectrum of glasses.
- To explore the role of prestress as a parameter for comparing packings in different dimensions.
Main Methods:
- Preparation of amorphous packings with up to 128,000 particles.
- Simulations conducted in spatial dimensions ranging from d=3 to d=9.
- Analysis of the vibrational density of states (g(ω)) to identify scaling behaviors.
- Utilizing prestress as a control parameter for inter-dimensional comparisons.
Main Results:
- Numerical results indicate that non-Debye scaling is observed down to a frequency that decreases with increasing dimensionality (d).
- The breakdown frequency of non-Debye scaling appears to diminish as spatial dimensions increase.
- Prestress is confirmed as an effective parameter for quantitatively comparing amorphous packings across different dimensions.
Conclusions:
- The non-Debye scaling in the vibrational density of states of amorphous packings is consistent with mean-field predictions, especially in higher dimensions.
- Finite-dimensional effects influence the low-frequency vibrational spectrum, causing a shift in the scaling breakdown.
- Prestress provides a robust method for standardizing comparisons of packing properties across varying spatial dimensions.
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