2016
DOI: 10.1103/physreve.93.012103
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Simple average expression for shear-stress relaxation modulus

Abstract: Focusing on isotropic elastic networks we propose a novel simple-average expression G(t) = µA − h(t) for the computational determination of the shear-stress relaxation modulus G(t) of a classical elastic solid or fluid and its equilibrium modulus Geq = limt→∞ G(t). Here, µA = G(0) characterizes the shear transformation of the system at t = 0 and h(t) the (rescaled) mean-square displacement of the instantaneous shear stressτ (t) as a function of time t. While investigating sampling time effects we also discuss … Show more

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Cited by 14 publications
(92 citation statements)
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“…Incidentally, using the Lebowitz-Percus-Verlet transformation rules this provides one way to elegantly demonstrate the stress-fluctuation formula Eq. (1) within a couple of lines [8,10]. Interestingly, the expectation values, i.e.…”
Section: Simple Averages and Fluctuationsmentioning
confidence: 99%
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“…Incidentally, using the Lebowitz-Percus-Verlet transformation rules this provides one way to elegantly demonstrate the stress-fluctuation formula Eq. (1) within a couple of lines [8,10]. Interestingly, the expectation values, i.e.…”
Section: Simple Averages and Fluctuationsmentioning
confidence: 99%
“…The indicated ∆t-dependences naturally arise since the averages for µ A and µ F are commonly and most conveniently done by first "timeaveraging" over time windows of length ∆t of the stored * Electronic address: joachim.wittmer@ics-cnrs.unistra.fr data entries of a given configuration and only in a second step by "ensemble-averaging" over completely independent configurations (Appendix B 2). Assuming the time-translational invariance of the time series it can be demonstrated (Appendix C) that the ∆t-dependence can be traced back to the stationarity relation [9,11,14] µ(∆t) = 2 ∆t 2 ∆t 0 dt t 0 dt G(t ).…”
Section: Introductionmentioning
confidence: 99%
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“…This gives a detailed picture of a single exchange event, but does not provide large enough time and length scales to assess macroscopic properties. To get to macroscopic scales, a coarse-grained model that captures the network-topology aspects of the exchange reactions is needed.In recent years, scientists have developed different numerical models to study exchange materials [11][12][13], embedding Monte Carlo hopping moves into hybrid molecular dynamics or Monte Carlo (MD,MC) simulations to reproduce bond swaps. In this letter, we study a vitrimer model consisting of associative star-polymers using a three-body potential to reproduce bond exchange dynamics with a controllable rate [14], avoiding the need for hybrid features.…”
mentioning
confidence: 99%
“…The stress autocorrelation function is often assumed to be equal to the stress relaxation G(t), but it was recently pointed out that the equality holds only in liquids [27,28]. Still, for self-assembled networks, C(t) on average converges to G(t) [11]. The correct way to define the stress relaxation would bewhere G eq is the shear modulus and C ∞ is the long-time asymptote of C(t) (so C ∞ ∝ σ 2 ).…”
mentioning
confidence: 99%