2020
DOI: 10.1063/1.5134842
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Dynamical coexistence in moderately polydisperse hard-sphere glasses

Abstract: We perform extensive numerical simulations of a paradigmatic model glass former, the hard-sphere fluid with 10% polydispersity. We sample from the ensemble of trajectories with fixed observation time, whereby single trajectories are generated by event-driven molecular dynamics. We show that these trajectories can be characterized in terms of local structure, and we find a dynamical-structural (active-inactive) phase transition between two dynamical phases: one dominated by liquid-like trajectories with low deg… Show more

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Cited by 18 publications
(10 citation statements)
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“…[117] Transitions in small molecular systems have also been studied, for example, water cluster isomerization [155] and water evaporation, [156] diffusion of water, [157] water transport through pores, [158] polymer collapse collapse, [159,160] cavitation, [161] and coarse grained micelle fusion. [162] TPS also enables investigating of dynamical phase transitions in glassy systems, [56,[163][164][165][166][167][168] using the framework of large deviation theory. While this is not a barrier crossing, the trajectories are rare and TPS can be applied to sample them.…”
Section: Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…[117] Transitions in small molecular systems have also been studied, for example, water cluster isomerization [155] and water evaporation, [156] diffusion of water, [157] water transport through pores, [158] polymer collapse collapse, [159,160] cavitation, [161] and coarse grained micelle fusion. [162] TPS also enables investigating of dynamical phase transitions in glassy systems, [56,[163][164][165][166][167][168] using the framework of large deviation theory. While this is not a barrier crossing, the trajectories are rare and TPS can be applied to sample them.…”
Section: Applicationsmentioning
confidence: 99%
“…TPS also enables investigating of dynamical phase transitions in glassy systems, [ 56,163–168 ] using the framework of large deviation theory. While this is not a barrier crossing, the trajectories are rare and TPS can be applied to sample them.…”
Section: Applicationsmentioning
confidence: 99%
“…Note that this is also the expression for the s-ensemble (with μ = s, where s should not be confused with the observable function s [x]). In the s-ensemble path ensembles are biased according to a time correlation function [51,[105][106][107][108][109][110]. This s-ensemble is usually presented in the context of large deviation theory, but clearly follows also from the MaxCal approach.…”
Section: Cope-maxcal For Dynamical Constraintsmentioning
confidence: 99%
“…Tuning the parameters ζ thus promotes trajectories that have as typical exchanges ∆ τ * . This approach has been employed to study dynamic phase transitions [27] in the Ising model [87,88], glasses [89][90][91][92], quantum systems [93], and to extract nonlinear transport coefficients [94]. Since rate functions encode rare fluctuations they are difficult to compute directly in numerical simulations.…”
Section: Challengesmentioning
confidence: 99%