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The Journal of Chemical Physics
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2025
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Sound attenuation in glasses

Authors: Grzegorz Szamel; Elijah Flenner;

Sound attenuation in glasses

Abstract

Comprehending sound attenuation is integral to understanding the anomalous low temperature properties of glasses. Despite decades of studies, the underlying mechanism of sound attenuation in glasses is still debated. In this perspective, we review recent work on sound attenuation in amorphous solids. We focus on the role of defects and heterogeneous elasticity, and we also discuss attenuation in model amorphous solids without defects. We review our definition of attenuation defects and show that they strongly influence sound attenuation. However, we also find another contribution to sound attenuation that cannot be attributed to attenuation defects. We confirm an earlier result of Kapteijns et al. [Kapteijns et al., J. Chem. Phys. 154, 081101 (2021)] that heterogeneous elasticity theory predicts relative changes of sound attenuation in model two-dimensional glasses if the configuration-to-configuration elastic constants fluctuations are used to quantify the heterogeneity. We extend this finding to similar three-dimensional glasses. We end by discussing the Euclidean random matrix model, which exhibits Rayleigh scaling of sound attenuation but does not have quasi-localized excitations and, thus, probably does not have sound attenuation defects. We propose that the mechanisms behind sound attenuation can be more fully understood by approaching the problem from two directions: one where the strong influence of defects is studied and another where sound attenuation is studied in defect free, although disordered, materials.

Related Organizations
Keywords

Soft Condensed Matter, Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Disordered Systems and Neural Networks

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green