Quantifying Disorder through Conditional Entropy: An Application to Fluid Mixing
Giovanni B Brandani,
Marieke Schor,
Cait E MacPhee,
Helmut Grubmüller,
Ulrich Zachariae and
Davide Marenduzzo
PLOS ONE, 2013, vol. 8, issue 6, 1-8
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.
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065617 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 65617&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0065617
DOI: 10.1371/journal.pone.0065617
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().