2016
DOI: 10.1103/physreve.93.042602
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Mean-field dynamic criticality and geometric transition in the Gaussian core model

Abstract: We use molecular dynamics simulations to investigate dynamic heterogeneities and the potential energy landscape of the Gaussian core model (GCM). Despite the nearly Gaussian statistics of particles' displacements, the GCM exhibits giant dynamic heterogeneities close to the dynamic transition temperature. The divergence of the four-point susceptibility is quantitatively well described by the inhomogeneous version of the Mode-Coupling theory. Furthermore, the potential energy landscape of the GCM is characterize… Show more

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Cited by 17 publications
(34 citation statements)
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“…[30][31][32] . As mentioned in an earlier study 20 in the calculation of the density of states, we also find some imaginary modes (∼ 0.19%) which we ignore to calculate the vibrational entropy. We believe that this will not make any change in the physical properties of the system.…”
Section: Configurational Entropysupporting
confidence: 61%
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“…[30][31][32] . As mentioned in an earlier study 20 in the calculation of the density of states, we also find some imaginary modes (∼ 0.19%) which we ignore to calculate the vibrational entropy. We believe that this will not make any change in the physical properties of the system.…”
Section: Configurational Entropysupporting
confidence: 61%
“…In standard glass former as the system approaches low temperatures, both the non-Gaussian parameter α 2 (t) and the four-point correlation function χ 4 (t) increase in a similar fashion. However in GCM the α 2 (t) was found to grow much less than in KA model 18 but the χ 4 (t) was found to grow much more 20 . This apparent contradiction was explained in terms of mobility field.…”
Section: Introductionmentioning
confidence: 78%
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“…(9) tends toward the d → ∞ prediction as d increases (37) A key prediction of the exact solution that has yet to be convincingly tested is the critical scaling of χ4 and ξ d -see Ref. (55) for a test in a different model. Because increasing d enlarges the range of power-law scaling of τα, the divergence of χ4 should then also become sharper.…”
Section: Liquid Dynamics In Finite Dimensionsmentioning
confidence: 99%