Edinburgh Research Explorer

Quantifying Disorder through Conditional Entropy: An Application to Fluid Mixing

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Rights statement: © 2013 Brandani et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Final published version, 3 MB, PDF-document

Original languageEnglish
Article numbere65617
Number of pages8
JournalPLoS ONE
Volume8
Issue number6
DOIs
StatePublished - 10 Jun 2013

Abstract

In this paper, we present a method to quantify the extent of disorder in a system by using conditional entropies. Our approach is especially useful when other global, or mean field, measures of disorder fail. The method is equally suited for both continuum and lattice models, and it can be made rigorous for the latter. We apply it to mixing and demixing in multicomponent fluid membranes, and show that it has advantages over previous measures based on Shannon entropies, such as a much diminished dependence on binning and the ability to capture local correlations. Further potential applications are very diverse, and could include the study of local and global order in fluid mixtures, liquid crystals, magnetic materials, and particularly biomolecular systems.

    Research areas

  • MONTE-CARLO-SIMULATION, MOLECULAR-DYNAMICS, PHASE-DIAGRAMS, MIXTURES, MODEL, ALGORITHMS, MEMBRANES, PROTEINS, DOMAIN, RAFTS

Download statistics

No data available

ID: 8562457