Flat Energy histogram version for Interacting Growth Walk

TL;DR

This paper introduces a flat energy histogram algorithm for Interacting Growth Walks, enabling efficient estimation of energy states in polymer models on 2D lattices, aiding the study of coil-globule transitions.

Contribution

The paper presents a novel flat energy histogram method tailored for Interacting Growth Walks, enhancing computational analysis of polymer phase transitions.

Findings

Successfully applied to 2D square and triangular lattices

Accurate calculation of density of energy states

Facilitates study of coil-globule transition

Abstract

Interacting Growth Walks is a recently proposed stochastic model for studying the coil-globule transition of linear polymers. We propose a flat energy histogram version for Interacting Growth Walk. We demonstrate the algorithm on two dimensional square and triangular lattices by calculating the density of energy states of Interacting Self Avoiding Walks.