ArticlePloS one2013
Quantifying disorder through conditional entropy: an application to fluid mixing.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
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- Nanopore-Functionalized Hybrid Lipid-Block Copolymer Membranes Allow Efficient Single-Molecule Sampling and Stable Sensing of Human Serum.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Distinct effects of progesterone and cholesterol on lipid membranes: insights from biophysical experiments and molecular dynamics simulations.Frontiers in molecular biosciences · 2025Article
- Theoretical evidence of H-He demixing under Jupiter and Saturn conditions.Nature communications · 2024Article
- Topological gelation of reconnecting polymers.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Ground-State Properties and Phase Separation of Binary Mixtures in Mesoscopic Ring Lattices.Entropy (Basel, Switzerland) · 2021Article
- Computer simulations of a heterogeneous membrane with enhanced sampling techniques.The Journal of chemical physics · 2020Article
- The mixing-demixing phase diagram of ultracold heteronuclear mixtures in a ring trimer.Scientific reports · 2019Article
- A mixed alchemical and equilibrium dynamics to simulate heterogeneous dense fluids: Illustrations for Lennard-Jones mixtures and phospholipid membranes.The Journal of chemical physics · 2018Article
- Systems protobiology: origin of life in lipid catalytic networks.Journal of the Royal Society, Interface · 2018Review
- Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.Nature biotechnology · 2018Article
- Critical size dependence of domain formation observed in coarse-grained simulations of bilayers composed of ternary lipid mixtures.The Journal of chemical physics · 2017Article
- Article
- Membrainy: a 'smart', unified membrane analysis tool.Source code for biology and medicine · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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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.
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