Issue 6, 2017

Kinetics of polymer collapse: effect of temperature on cluster growth and aging

Abstract

Using state of the art Monte Carlo simulations of a bead-spring model we investigate both the equilibrium and the nonequilibrium behavior of the homopolymer collapse. The equilibrium properties obtained via multicanonical sampling recover the well-known finite-size scaling behavior of collapse for our model polymer. For the nonequilibrium dynamics we study the collapse by quenching the homopolymer from an expanded coiled state into the globular phase. The sequence of events observed during the collapse is independent of the quench depth. In particular, we focus on finding out universal scaling behaviors related to the growth or coarsening of clusters of monomers, by drawing phenomenological analogies with ordering kinetics. We distinguish the cluster coarsening stage from the initial stage of primary cluster formation. By successful application of a nonequilibrium finite-size scaling analysis we show that at all quench temperatures, during the coarsening stage, the cluster growth is roughly linear and can be characterised by a universal finite-size scaling function. In addition, we provide evidence of aging by constructing a suitable autocorrelation function and its corresponding dynamical power-law scaling with respect to the growing cluster sizes. The predicted theoretical bound for the exponent governing such scaling is strictly obeyed by the numerical data irrespective of the quench temperature. The results and methods presented here in general should find application in similar phenomena such as the collapse of a protein molecule preceding its folding.

Graphical abstract: Kinetics of polymer collapse: effect of temperature on cluster growth and aging

Article information

Article type
Paper
Submitted
27 Sep 2016
Accepted
30 Dec 2016
First published
20 Jan 2017

Soft Matter, 2017,13, 1276-1290

Kinetics of polymer collapse: effect of temperature on cluster growth and aging

S. Majumder, J. Zierenberg and W. Janke, Soft Matter, 2017, 13, 1276 DOI: 10.1039/C6SM02197B

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