An improvement of the sequential algorithm for modeling the chain-like-bodies motion

Abstract

Numerous simulation studies in statistical physics make use of various algorithms that are designed for modeling of the chain-like-body (CLB) motion. In recent years within this group a new sequential algorithm was proposed. The main idea of this new approach to the algorithmization of the CLB motion is based on the incorporation of the tension propagation mechanism into each simulated move. In this paper, improvement of this algorithm by implementation of the direction-preference-mechanism is proposed. This modification enables one to better mimic the real behavior of the CLB. The impact of the new procedure on the simulation process is studied with the help of metamodels that relate to some important characteristics of the CLB motion with the algorithm's new parameters.