2020
DOI: 10.1126/sciadv.aaz0777
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Predictive relation for the α-relaxation time of a coarse-grained polymer melt under steady shear

Abstract: We examine the influence of steady shear on structural relaxation in a simulated coarse-grained unentangled polymer melt over a wide range of temperature and shear rates. Shear is found to progressively suppress the α-relaxation process observed in the intermediate scattering function, leading ultimately to a purely inertially dominated β-relaxation at high shear rates, a trend similar to increasing temperature. On the basis of a scaling argument emphasizing dynamic heterogeneity in cooled liquids and its alte… Show more

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Cited by 59 publications
(66 citation statements)
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“…. 22 Here, q is the momentum transfer describing the spatial scale; N is the number of polymer beads; [rj(t)rj(0)] is the displacement of atom j within the time t. The q is chosen to be q0=6.9 which reflects the segmental relaxation approximately corresponding to the maximum peak of the static structure factor. Figure S6 .…”
Section: Volume Fraction Of Nanoparticlesmentioning
confidence: 99%
See 3 more Smart Citations
“…. 22 Here, q is the momentum transfer describing the spatial scale; N is the number of polymer beads; [rj(t)rj(0)] is the displacement of atom j within the time t. The q is chosen to be q0=6.9 which reflects the segmental relaxation approximately corresponding to the maximum peak of the static structure factor. Figure S6 .…”
Section: Volume Fraction Of Nanoparticlesmentioning
confidence: 99%
“…Figure S6 . 22 A and τf are the additional fitting parameters represent a fast  -relaxation; the βf and β are the stretching exponent;   is the  -relaxation time. The  -relaxation process is nearly unaffected by the γ̇.…”
Section: Volume Fraction Of Nanoparticlesmentioning
confidence: 99%
See 2 more Smart Citations
“…CG polymer models reduce the degrees of freedom by representing a polymer as a string of CG beads, where each CG bead represents either groups of atoms within a monomer, a whole monomer, or groups of monomers (or Kuhn segments). CG simulations have been used extensively to predict universal properties of polymers [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ] or properties/behavior exhibited by specific polymer chemistries, enabling direct comparison to experiments [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ].…”
Section: Introductionmentioning
confidence: 99%