2016
DOI: 10.1063/1.4964617
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Communication: Polymer entanglement dynamics: Role of attractive interactions

Abstract: The coupled dynamics of entangled polymers which span a broad time and length scales govern the unique viscoelastic properties of polymers. To follow chain mobility by numerical simulations from the intermediate Rouse and reptation regimes to the late time diffusive regime, highly coarse grained models with purely repulsive interactions between monomers are widely used since they are computationally the most efficient. Here using large scale molecular dynamics

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Cited by 64 publications
(63 citation statements)
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“…However searching for the reptation power laws 1 as predicted by reptation theory, through molecular dynamics simulations, is difficult [32][33][34][35][36][37][38] . For example by using the Kremer-Grest model 31 the reptation regime can not be reached for very long polymers 33 .…”
Section: Introductionmentioning
confidence: 99%
“…However searching for the reptation power laws 1 as predicted by reptation theory, through molecular dynamics simulations, is difficult [32][33][34][35][36][37][38] . For example by using the Kremer-Grest model 31 the reptation regime can not be reached for very long polymers 33 .…”
Section: Introductionmentioning
confidence: 99%
“…These unimers (1-mers) to docosamers (22-mers) are from here on referred to as DP 1t o2 2. [17] With discrete oligomers at hand it is also possible to create precisely defined artificial oligomer distributions.T he design of tailored molecular weight distributions (MWD) has found substantial interest over the years as the MWD governs the resulting thermal and mechanical properties. [16] This transition toward oligomers coincides with amuch stronger dependencyofphysical properties on molecular weight.…”
mentioning
confidence: 99%
“…The dataset spans over ten orders of magnitude in time and showcases a rich variety of dynamical phenomena. [35] The computational performance achieved by Bačová et al is representative of the state-of-the-art capabilities across different polymer topics, like linear [36] and ring polymers, [37] which is roughly 10 9 KG time steps per month. On the very large timescale, it is again a random walk, but with a strong N dependence of the pre-factor: g ∝ t/τ a .…”
Section: Resultsmentioning
confidence: 94%
“…Their computation on the PRACE supercomputer has lasted 3 to 4 months (private communication). ESPResSo software package was used, which is a common choice for polymer simulations and has a performance similar to LAMMPS, another widely used option . The computational performance achieved by Bačová et al.…”
Section: Resultsmentioning
confidence: 99%