2013
DOI: 10.1371/journal.pone.0065617
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Quantifying Disorder through Conditional Entropy: An Application to Fluid Mixing

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 b… Show more

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Cited by 38 publications
(32 citation statements)
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References 28 publications
(42 reference statements)
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“…In comparison to the one used in 37,38 , this formula is based on normalized populations x j and y j (rather than n j and m j ) and is therefore more suited to describe binary mixtures where the species feature a particle-number imbalance (moreover the contribution of each site j to the total entropy of mixing is not fixed, but it is weighted by the fractions of particles present therein). As shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…In comparison to the one used in 37,38 , this formula is based on normalized populations x j and y j (rather than n j and m j ) and is therefore more suited to describe binary mixtures where the species feature a particle-number imbalance (moreover the contribution of each site j to the total entropy of mixing is not fixed, but it is weighted by the fractions of particles present therein). As shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…as described by Brandani et al [ 38 ], where p ( x i , n b i ) is the probability to find a lipid of type x i neighboured to a lipid of type n b i , and p ( x i ∣ n b i ) indicates the conditional probability that a lipid is of type x i given that its neighbour is of type n b i . To calculate the entropy, a distance vector is established between the phosphorous atoms on each lipid in a leaflet to determine the nearest neighbouring lipid and its type.…”
Section: Methodsmentioning
confidence: 99%
“…, M types of monomers can be quantified by computing the Shannon entropy (i.e. entropy of mixing) [46]…”
Section: Entropy Of Mixing Quantifies Composite Macrostructurementioning
confidence: 99%