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Correlation of plastic events with local structure in jammed packings across spatial dimensions.
Ridout, Sean A; Rocks, Jason W; Liu, Andrea J.
Afiliación
  • Ridout SA; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.
  • Rocks JW; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.
  • Liu AJ; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 119(16): e2119006119, 2022 04 19.
Article en En | MEDLINE | ID: mdl-35412897
ABSTRACT
In frictionless jammed packings, existing evidence suggests a picture in which localized physics dominates in low spatial dimensions, d = 2, 3, but quickly loses relevance as d rises, replaced by spatially extended mean-field behavior. For example, quasilocalized low-energy vibrational modes and low-coordination particles associated with deviation from mean-field behavior (rattlers and bucklers) all vanish rapidly with increasing d. These results suggest that localized rearrangements, which are associated with low-energy vibrational modes, correlated with local structure, and dominant in low dimensions, should give way in higher d to extended rearrangements uncorrelated with local structure. Here, we use machine learning to analyze simulations of jammed packings under athermal, quasistatic shear, identifying a local structural variable, softness, that correlates with rearrangements in dimensions d = 2 to d = 5. We find that softness­and even just the local coordination number Z­is essentially equally predictive of rearrangements in all d studied. This result provides direct evidence that local structure plays an important role in higher d, suggesting a modified picture for the dimensional cross-over to mean-field theory.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article