From cage-jump motion to macroscopic diffusion in supercooled liquids (Articolo in rivista)

Type
Label
  • From cage-jump motion to macroscopic diffusion in supercooled liquids (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1039/c4sm00739e (literal)
Alternative label
  • Pastore, Raffaele; Coniglio, Antonio; Ciamarra, Massimo Pica (2014)
    From cage-jump motion to macroscopic diffusion in supercooled liquids
    in Soft matter (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pastore, Raffaele; Coniglio, Antonio; Ciamarra, Massimo Pica (literal)
Pagina inizio
  • 5724 (literal)
Pagina fine
  • 5728 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 10 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 31 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto Nazionale Geofisica e Vulcanologia (INGV); Istituto Nazionale Geofisica e Vulcanologia (INGV); Nanyang Technological University (literal)
Titolo
  • From cage-jump motion to macroscopic diffusion in supercooled liquids (literal)
Abstract
  • The evaluation of the long term stability of a material requires the estimation of its long-time dynamics. For amorphous materials such as structural glasses, it has proven difficult to predict the long-time dynamics starting from static measurements. Here we consider how long one needs to monitor the dynamics of a structural glass to predict its long-time features. We present a detailed characterization of the statistical features of the single-particle intermittent motion, and show that single-particle jumps are the irreversible events leading to the relaxation of the system. This allows us to evaluate the diffusion constant on the time-scale of the jump duration, which is small and temperature independent, i.e. well before the system enters the diffusive regime. The prediction is obtained by analyzing the particle trajectories via a parameter-free algorithm. (literal)
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