Rouse Modes of Self-avoiding Flexible Polymers
Debabrata Panja, Gerard T. Barkema

TL;DR
This study investigates the Rouse modes of self-avoiding flexible polymers using lattice-based Monte Carlo simulations, revealing high statistical independence of modes and deriving key scaling properties and dynamics of the polymers.
Contribution
It provides an approximate analytical expression for mode correlations and demonstrates how the anomalous dynamics of the middle monomer can be derived from force fluctuations.
Findings
Rouse modes are highly statistically independent in self-avoiding polymers
Derived scaling laws for end-to-end distance and correlation functions
Confirmed anomalous dynamics of the middle monomer
Abstract
Using a lattice-based Monte Carlo code for simulating self-avoiding flexible polymers in three dimensions in the absence of explicit hydrodynamics, we study their Rouse modes. For self-avoiding polymers, the Rouse modes are not expected to be statistically independent; nevertheless, we demonstrate that numerically these modes maintain a high degree of statistical independence. Based on high-precision simulation data we put forward an approximate analytical expression for the mode amplitude correlation functions for long polymers. From this, we derive analytically and confirm numerically several scaling properties for self-avoiding flexible polymers, such as (i) the real-space end-to-end distance, (ii) the end-to-end vector correlation function, (iii) the correlation function of the small spatial vector connecting two nearby monomers at the middle of a polymer, and (iv) the anomalous…
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