@misc{10481/76579,
year = {2022},
month = {7},
url = {http://hdl.handle.net/10481/76579},
abstract = {Lennard–Jones mixtures represent one of the popular systems for the study
of glass-forming liquids. Spatio/temporal heterogeneity and rare (activated)
events are at the heart of the slow dynamics typical of these systems. Such slow
dynamics is characterised by the development of a plateau in the mean-squared
displacement (MSD) at intermediate times, accompanied by a non-Gaussianity
in the displacement distribution identified by exponential tails. As pointed out
by some recent works, the non-Gaussianity persists at times beyond the MSD
plateau, leading to a Brownian yet non-Gaussian regime and thus highlighting
once again the relevance of rare events in such systems. Single-particle motion
of glass-forming liquids is usually interpreted as an alternation of rattlingwithin
the local cage and cage-escape motion and therefore can be described as a
sequence of waiting times and jumps. In this work, by using a simple yet robust
algorithm, we extract jumps and waiting times from single-particle trajectories
obtained via molecular dynamics simulations. We investigate the presence
of correlations between waiting times and find negative correlations, which
becomes more and more pronounced when lowering the temperature.},
organization = {European Commission
European Commission Joint Research Centre	847693
840195-ARIADNE},
organization = {Polish National Agency for Academic Exchange (NAWA)},
publisher = {Institute of Physics},
keywords = {Glassy systems},
keywords = {Hopping dynamics},
keywords = {Jump detection},
keywords = {Rare events},
title = {Detecting temporal correlations in hopping dynamics in Lennard–Jones liquids},
doi = {10.1088/1751-8121/ac7e0a},
author = {Sposini, Vittoria and Roldán Vargas, Sándalo},
}