A new old algorithm, entropy sampling, and/or getting in and out of energy minima

TL;DR

This paper introduces a free energy Monte Carlo algorithm designed to overcome ergodicity issues in simulations, enabling entropy determination and exploration of energy minima in statistical systems.

Contribution

It presents a novel free energy Monte Carlo algorithm that addresses ergodicity problems and facilitates entropy calculation and energy minima exploration.

Findings

Algorithm effectively determines entropy functions.

Enables entropy sampling at large times.

Facilitates exploration of energy minima.

Abstract

I propose a new algorithm, a free energy Monte Carlo algorithm, for calculations where conventional Monte Carlo simulations struggle with ergodicity problems. The simplest version of the proposed algorithm allows for the determination of the entropy function of statistical systems and/or performs entropy sampling at sufficiently large times. I also mention how this algorithm can be used to explore the system's energy space, in particular for minima.