Effect of Temperature on the Complexity of Solid Argon System

TL;DR

This study investigates how temperature influences the complexity of solid Argon by analyzing the multi-scale entropy of atomic kinetic energy time series, revealing increased complexity at higher temperatures and similarities with Levy noise and Langevin dynamics.

Contribution

It introduces a multi-scale entropy analysis of atomic kinetic energy in solid Argon across temperatures, linking complexity to temperature and noise models.

Findings

Complexity increases with temperature.

Multi-scale entropy of Argon atoms resembles Levy noise.

Results align with exponential decay with noise models.

Abstract

We study the measure of complexity in solid Argon system from the time series data of kinetic energy of single Argon atoms at different equilibrated temperatures. To account the inherent multi-scale dependence of the complexity, the multi-scale entropy of the time series of kinetic energy of individual Argon atoms are computed at different equilibrated temperatures. The multi-scale entropy study reveals that the dynamics of an atom becomes more complex at higher temperatures and the result corroborates well with the variation of the pair correlation function of the atoms in the solid Argon crystal. Also, we repeat the multi-scale entropy analysis for program generated Levy noise time series and for time series data obtained from the outcomes of exponential decay with noise dx(t) = -x(t) dt + sigma dB(t) (Langevin equation). Our study establishes that the scale dependence of sample entropy for time series of kinetic energy of individual atoms in solid Argon system has similar tendency as that of Levy noise time series and the outcomes of exponential decay with noise (Langevin equation).