Large deviations of Rouse polymer chain: First passage problem
Jing Cao, Jian Zhu, Zuowei Wang, Alexei E. Likhtman

TL;DR
This paper investigates the first passage problem for Rouse polymer chains using simulations and theoretical models, revealing two scaling regimes and proposing a new predictive theory that improves understanding of polymer dynamics.
Contribution
It introduces a new theory based on Freidlin-Wentzell dynamics for the first passage problem in Rouse chains, validated by simulations, and applies it to branched polymer rheology.
Findings
Mean first-passage time decreases with more beads.
Two distinct scaling regimes of FP time are identified.
New theory predicts scaling regimes but not numerical prefactors.
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 forward-flux sampling (FFS) simulations, and measure the mean first-passage time for the free end to reach a certain distance away from the origin. The results show that the mean FP time is getting faster if the Rouse chain is represented by more beads. Two scaling regimes of are observed, with transition between them varying as a function of chain length. We use these simulations results to test two theoretical approaches. One is a well known asymptotic theory valid in the limit of zero temperature. We show that this limit corresponds to fully…
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