Coil-globule transition of a homopolymer chain in a square-well potential: Comparison between Monte Carlo canonical replica exchange and Wang-Landau sampling
Artem Badasyan, Trinh Xuan Hoang, Rudolf Podgornik, Achille, Giacometti

TL;DR
This study compares Monte Carlo replica exchange and Wang-Landau sampling methods to analyze the coil-globule transition in a homopolymer with square-well interactions, aiming to efficiently reproduce phase diagrams and explore protein folding features.
Contribution
It provides a comparative analysis of two sampling techniques for homopolymer phase behavior and demonstrates their effectiveness in reproducing phase diagrams with reduced computational effort.
Findings
Replica exchange and Wang-Landau methods yield consistent results.
Short-chain simulations can accurately reproduce phase diagrams of longer chains.
The approach facilitates modeling of protein folding phenomena.
Abstract
We study the equilibrium properties of a flexible homopolymer where consecutive monomers are represented by impenetrable hard spheres that are tangent to each other, and non-consecutive monomers interact via a square-well potential. To this aim, we use both replica exchange canonical simulations and micro-canonical Wang-Landau techniques for relatively short chains, and perform a close comparative analysis of the corresponding results. These investigations are then further exploited to reproduce, at a much shorter scale and, hence, computational effort, the phase diagram previously studied with much longer chains. This opens up the possibility of improving the model and introduce specificities typical, among other examples, of protein folding.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Material Dynamics and Properties
