Metastability at the Yield-Stress Transition in Soft Glasses

Lulli, Matteo; Benzi, Roberto; Sbragaglia, Mauro

doi:10.1103/physrevx.8.021031

Cited by 21 publications

(11 citation statements)

References 81 publications

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“…In figure 1 The resulting structures appear to be irregular and polydispersed, as indicated by the distortion of the Delaunay triangulation and its dual Voronoi tessellation [22]. We wish to highlight that, both the dispersed and continuous phases' discharges are kept constant in all the simulations.…”

Section: Resultsmentioning

confidence: 99%

Wet to dry self-transitions in dense emulsions: from order to disorder and back

Montessori,

Lauricella,

Tiribocchi

et al. 2021

Preprint

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One of the most distinctive hallmarks of many-body systems far from equilibrium is the spontaneous emergence of order under conditions where disorder would be plausibly expected. Here, we report on the self-transition between ordered and disordered emulsions in divergent microfluidic channels, i.e. from monodisperse assemblies to heterogeneous polydisperse foam-like structures, and back again to ordered ones. The transition is driven by the nonlinear competition between viscous dissipation and surface tension forces as controlled by the device geometry, particularly the aperture angle of the divergent microfluidic channel. An unexpected route back to order is observed in the regime of large opening angles, where a trend towards increasing disorder would be intuitively expected.

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Section: Resultsmentioning

confidence: 99%

Wet to dry self-transitions in dense emulsions: from order to disorder and back

Montessori,

Lauricella,

Tiribocchi

et al. 2021

Preprint

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“…The displacement field is expected to be very small in absence of plastic rearrangements; conversely, when plastic rearrangements occur, the displacement field is expected to strongly increase and localize, both in time and space. In other words, plastic rearrangements are expected to be responsible for the largest values attained by the displacement field, hence it is logical to look for the maximum displacement d sup (t) = sup i | d i (t)| [8,50] as a non trivial quantity to address the statistical properties of avalanches. This was already highlighted in [50], where the very same model that we considered here was analyzed under the effect of an external driving in a Couette cell below yield.…”

Section: Resultsmentioning

confidence: 99%

Avalanche statistics during coarsening dynamics

Pelusi¹,

Sbragaglia²,

Benzi³

2019

Soft Matter

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We study the coarsening dynamics of a two dimensional system via lattice Boltzmann numerical simulations. The system under consideration is a biphasic system consisting of domains of a dispersed phase closely packed together in a continuous phase and separated by thin interfaces. Such system is elastic and typically out of equilibrium. The equilibrium state is attained via the coarsening dynamics, wherein the dispersed phase slowly diffuses through the interfaces, causing domains to change in size and eventually rearrange abruptly. The effect of rearrangements is propagated throughout the system via the intrinsic elastic interactions and may cause rearrangements elsewhere, resulting in intermittent bursts of activity and avalanche behaviour. Here we aim at quantitatively characterizing the corresponding avalanche statistics (i.e. size, duration, inter-avalanche time). Despite the coarsening dynamics is triggered by an internal driving mechanism, we find quantitative indications that such avalanche statistics displays scaling-laws very similar to those observed in the response of disordered materials to external loads. arXiv:1904.06415v1 [cond-mat.soft]

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“…The SC model has been widely used to model complex fluids with a non-trivial impact on the study of the interface physics, one may cite heterogeneous cavitation [50] and emulsion rheology physics [51], also in presence of complex boundary conditions [43].…”

Section: 𝑓 (J)mentioning

confidence: 99%

Mesoscale Modelling of the Tolman Length in Multi-component Systems

Lulli¹,

Biferale²,

Falcucci³

et al. 2021

Preprint

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In this paper we analyze the curvature corrections to the surface tension in the context of the Shan-Chen (SC) multi-component Lattice Boltzmann method (LBM). We demonstrate that the same techniques recently applied in the context of the Shan-Chen multi-phase model can be applied to multi-component mixtures. We implement, as a new application, the calculation of the surface of tension radius 𝑅 𝑠 through the minimization of the generalized surface tension 𝜎 [𝑅]. In turn we are able to estimate the Tolman length, i.e. the first order coefficient of the curvature expansion of the surface tension 𝜎(𝑅), as well as the higher order corrections, i.e. the curvature-and the Gaussian-rigidity coefficients. The SC multi-component model allows to model both fully-symmetric as well as asymmetric interactions among the components. By performing an extensive set of simulations we present a first example of tunable Tolman length in the mesoscopic model, being zero for symmetric interactions and different from zero otherwise. This result paves the way for controlling such interface properties which are paramount in presence of thermal fluctuations. All reported results can be independently reproduced through the "idea.deploy" framework available at https://github.com/lullimat/idea.deploy.

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Metastability at the Yield-Stress Transition in Soft Glasses

Cited by 21 publications

References 81 publications

Wet to dry self-transitions in dense emulsions: from order to disorder and back

Wet to dry self-transitions in dense emulsions: from order to disorder and back

Avalanche statistics during coarsening dynamics

Mesoscale Modelling of the Tolman Length in Multi-component Systems

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