Onset of collective excitations in the transverse dynamics of simple fluids
- Author(s)
- Eleonora Guarini, Martin Neumann, Alessio De Francesco, Ferdinando Formisano, Alessandro Cunsolo, Wouter Montfrooij, Daniele Colognesi, Ubaldo Bafile
- Abstract
A thorough analysis of the transverse current autocorrelation function obtained by molecular dynamics simulations of a dense Lennard-Jones fluid reveals that even such a simple system is characterized by a varied dynamical behavior with changing length scale. By using the exponential expansion theory, we provide a full account of the time correlation at wavevectors Q between the upper boundary of the hydrodynamic region and Qp/2, with Qp being the position of the main peak of the static structure factor. In the Q range studied, we identify and accurately locate the wavevector at which shear wave propagation starts to take place, and show clearly how this phenomenon may be represented by a damped harmonic oscillator changing, in a continuous way, from an overdamped to an underdamped condition. The decomposition into exponential modes allows one to convincingly establish not only the crossover related to the onset of transverse waves but, surprisingly, also the existence of a second pair of modes equivalent to another oscillator that undergoes, at higher Q values, a similarly smooth over to underdamped transition.
- Organisation(s)
- Computational and Soft Matter Physics
- External organisation(s)
- University of Florence, Institut Laue-Langevin (ILL), University of Wisconsin, Madison, University of Missouri-Columbia, Institute of Genetics and Biophysics "Adriano Buzzati-Traverso", CNR
- Journal
- Physical Review E
- Volume
- 107
- No. of pages
- 8
- ISSN
- 2470-0045
- DOI
- https://doi.org/10.1103/PhysRevE.107.014139
- Publication date
- 01-2023
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 103015 Condensed matter, 103043 Computational physics, 103029 Statistical physics
- ASJC Scopus subject areas
- Condensed Matter Physics, Statistical and Nonlinear Physics, Statistics and Probability
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/9636c02d-35f9-4331-9a62-9c6653deca82