Skip to content
DraconiticResearch
Search Sources API
186,125 studies31 sourcesUpdated 13 min ago
PreprintCC BY 4.0arXiv

Using microrheology to study dynamical heterogeneities

Abstract

Dynamical heterogeneities are one of the hallmarks of supercooled liquids, and their properties and relevance have been studied with theory, simulations and experiments. In this work, we propose to monitor the dynamics of tracer particles (passive microrheology) to analyze the dynamical heterogeneities in a system of hard colloids close to the glass transition density, using Langevin dynamics simulations and mode coupling theory. Different observables, typical in the study of the dynamical heterogeneities are adapted to be calculated from the trajectory of a single tracer particle. The tracer dynamics shows a transition from a regime where it is most decoupled from the bath for small tracer size to a strong coupling regime for large tracers. Both theory and simulations show that the non-Gaussian parameter of the tracer is maximal for tracer sizes at the crossover between both regimes, and is highly dependent on the bath density. The dynamic susceptibility is also studied, but this parameter shows a minor dependence on both the tracer size or the bath density. Finally, the existence of regions with different mobility is also studied with microrheology. Although the tracer trajectory indeed shows stages with increased mobility, the estimated size of the regions decreases with the bath density, contrary to the results from cluster analysis in the bulk.

Related

  1. Bath-modes quantitatively capture the nonlinear microrheology of micellar solutions
    Pierre Champagnac, Clemens Bechinger, Juliana Caspers +3
    HALPreprintCC BY-NC-ND 4.0Full textGeneral physicsHAL
  2. Modelling sexual partnership dynamics and population heterogeneities in agent-based dynamic network models
    Priyanka Nair-Turkich, Patricia T. Campbell, Nicholas Geard
    arXivPreprintCC BY 4.0Full textEvolutionary biologyStatistical & nonlinear physicsarXiv
  3. Bayesian inference in active microrheology with wall and particle-particle interactions
    Parajal Rai, Michelle M. A. Spanjaards, Ye Wang +2
    arXivPreprintarXiv licenceFull textCondensed matterarXiv
  4. Exact Nonlinear Active Microrheology in Diffusive Single-File Systems
    Aurélien Grabsch, Olivier Bénichou
    arXivPreprintarXiv licenceFull textCondensed matterStatistical & nonlinear physicsarXiv
  5. Linear and nonlinear active microrheology of viscous, viscoelastic, and elastic media: A fluid particle dynamics approach
    Muhammed Muhsin Abdul Azeez, Henning Reinken, Andreas M. Menzel
    arXivPreprintarXiv licenceFull textCondensed matterarXiv
BibTeX
@misc{puertas2026using,
  title = {{Using microrheology to study dynamical heterogeneities}},
  author = {Antonio M. Puertas and Thomas Voigtmann},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.00331},
  eprint = {2609.00331},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.00331},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Using microrheology to study dynamical heterogeneities
AU  - Antonio M. Puertas
AU  - Thomas Voigtmann
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.00331
UR  - https://arxiv.org/abs/2609.00331
AB  - Dynamical heterogeneities are one of the hallmarks of supercooled liquids, and their properties and relevance have been studied with theory, simulations and experiments. In this work, we propose to monitor the dynamics of tracer particles (passive microrheology) to analyze the dynamical heterogeneities in a system of hard colloids close to the glass transition density, using Langevin dynamics simulations and mode coupling theory. Different observables, typical in the study of the dynamical heterogeneities are adapted to be calculated from the trajectory of a single tracer particle. The tracer dynamics shows a transition from a regime where it is most decoupled from the bath for small tracer size to a strong coupling regime for large tracers. Both theory and simulations show that the non-Gaussian parameter of the tracer is maximal for tracer sizes at the crossover between both regimes, and is highly dependent on the bath density. The dynamic susceptibility is also studied, but this parameter shows a minor dependence on both the tracer size or the bath density. Finally, the existence of regions with different mobility is also studied with microrheology. Although the tracer trajectory indeed shows stages with increased mobility, the estimated size of the regions decreases with the bath density, contrary to the results from cluster analysis in the bulk.
ER  -