Communication: Pair interaction ordering in fluids with random interactions

Lenin S. Shagolsem, Dino Osmanović, Orit Peleg, Yitzhak Rabin

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We use molecular dynamics simulations in 2D to study multi-component systems in the limiting case where all the particles are different (APD). The particles are assumed to interact via Lennard-Jones potentials, with identical size parameters but their pair interaction parameters are generated at random from a uniform or from a peaked distribution. We analyze both the global and the local properties of these systems at temperatures above the freezing transition and find that APD fluids relax into a non-random state characterized by clustering of particles according to the values of their pair interaction parameters (particle-identity ordering).

Original languageEnglish
Article number051104
JournalJournal of Chemical Physics
Volume142
Issue number5
DOIs
StatePublished - 7 Feb 2015

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