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Microscopic description of the intermittent dynamics driving logarithmic creep

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arxiv 2409.17415 v1 pith:ESMMEHL6 submitted 2024-09-25 cond-mat.dis-nn cond-mat.soft

classification cond-mat.dis-nncond-mat.soft
keywords creepdynamicslogarithmicavalanchesdescriptiondistributionheterogeneousintermittent
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Disordered materials under an imposed forcing can display creep and aging effects, accompanied by intermittent, spatially heterogeneous dynamics. We propose a unifying microscopic description of these phenomena, based on the notion that as the system ages, the density of local barriers that enable relaxation displays a slowly evolving gap. As a result, the relaxation dynamics is dominated by the activation of the lowest, extremal tail of the distribution. This framework predicts logarithmic creep, as well as correlated bursts of slow activated rearrangements, or 'thermal avalanches', whose size grows logarithmically with their duration. The time interval between events within avalanches obeys a universal power-law distribution, with a cut-off that is simply proportional to the age of the system. We show that these predictions hold both in numerical models of amorphous solids, as well as in experiments with thin crumpled sheets. This analysis suggests that the heterogeneous dynamics occurring during logarithmic creep is related to other phenomena, including dynamical heterogeneities characterising the glass transition.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Statistics of Thermal Avalanches in Driven Amorphous Systems

    cond-mat.dis-nn 2026-03 conditional novelty 7.0 of 10

    A random first-order transition theory combined with continuous-time random walks predicts non-Poisson waiting times, enhanced effective temperatures, and full counting distributions for thermal avalanches in driven glasses.

  2. Aging of amorphous materials under cyclic strain

    cond-mat.soft 2025-06 conditional novelty 7.0 of 10

    Aging under slow cyclic strain is characterized by a logarithmic decay of dissipation per cycle, which selects a bistable spring-network model over simpler hysteron models.

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