2015
DOI: 10.1063/1.4936130
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Large deviations of Rouse polymer chain: First passage problem

Abstract: The purpose of this paper is to investigate several analytical methods of solving first passage (FP) problem for the Rouse model, a simplest model of a polymer chain. We show that this problem has to be treated as a multi-dimensional Kramers' problem, which presents rich and unexpected behavior. We first perform direct and

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Cited by 15 publications
(56 citation statements)
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References 25 publications
(29 reference statements)
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“…[72] for a fBM in a parabolic potential as well as in Ref. [15] in the case of a Rouse polymer chain. As demonstrated in Fig.…”
Section: First-passage Timementioning
confidence: 78%
See 1 more Smart Citation
“…[72] for a fBM in a parabolic potential as well as in Ref. [15] in the case of a Rouse polymer chain. As demonstrated in Fig.…”
Section: First-passage Timementioning
confidence: 78%
“…(1.9)], analytical solutions of the first-passage problem are technically difficult and are available only in certain limits (see, e.g., Refs. [11][12][13][14][15][16]). The first-passage dynamics of the profile is thus addressed here via numerical simulation of Eqs.…”
Section: Introductionmentioning
confidence: 99%
“…[16][17][18][19][20] Recently we have shown by simulations and theoretical calculations that if the star arm is represented by a Rouse chain with more beads, the mean FP time of the chain extension or retraction gets faster than that predicted by the single-bead models. 21 More accurate description of arm retraction dynamics should be achieved by solving a multi-dimensional Kramer's problem even for the cases without CR.…”
Section: Introductionmentioning
confidence: 99%
“…The development of such theories requires the analytical solution of the multi-dimensional FP problem of arm retraction. 18 On the other hand, the coarse-grained slip-link or slip-spring (SS) simulation models have demonstrated strong potential in describing dynamics and rheology of entangled polymers. [19][20][21][22][23][24][25][26][27][28] For example, the single-chain slip-spring model developed by Likhtman 25 can provide simulation results on multiple experimentally measurable observables, such as neutron spin echo, linear rheology, dielectric relaxation and diffusion.…”
Section: Introductionmentioning
confidence: 99%
“…To our knowledge the only reported work on applying the transition path sampling methods to study entanglement dynamics is the FFS simulation of Rouse chains in the regime relevant to arm retraction dynamics. 18 We will mainly focus on the systems without constraint release for the following reasons: 1) It is relatively convenient to implement the FFS method and find an appropriate reaction coordinate in the non-CR systems; 2) The terminal relaxation times in the systems without CR are much longer than those with CR, allowing us to test the computational efficiency and limit of the combined method; 3) Reliable simulation data on the FP times of arm retractions without CR are highly desired for examining analytical solutions of the multiple-dimensional Kramers problem 18 ; 4) The extension of the method developed in the non-CR case to the CR case is fairly straightforward, as will be shown in Section V. With an optimized selection of the reaction coordinate, which is the index of the monomer that the innermost slip-link sits on, we first validate the proposed simulation method by producing simulation results on the terminal relaxation times τ d of mildly entangled star arms up to 8 entanglements in good agreement with those obtained from SS model simulations. The FFS simulations are then extended to longer arms with lengths up to 16 entanglements and so reach τ d values about 6 decades beyond that accessible by brute force simulations (from 6 × 10 6 to 3 × 10 12 SS unit time).…”
Section: Introductionmentioning
confidence: 99%