Phase behavior and morphology of multicomponent liquid mixtures. Issue 6 (3rd December 2018)

• Record Type: Journal Article
• Authors: Mao, Sheng; Kuldinow, Derek; Haataja, Mikko P.; Košmrlj, Andrej
• Is Part Of: Soft matter. Volume 15:Issue 6(2019)
• Page Start: 1297
• Page End: 1311
• Publication Date: 2018-12-03
• Subjects: Soft condensed matter -- Periodicals; 530.413
• DOI: 10.1039/c8sm02045k
• Languages: English
• ISSNs: 1744-683X

Abstract

Abstract : Cahn–Hilliard and Flory–Huggins theories are employed to investigate emergence of nested morphologies in phase separated multicomponent systems. Abstract : Multicomponent systems are ubiquitous in nature and industry. While the physics of few-component liquid mixtures ( i.e., binary and ternary ones) is well-understood and routinely taught in undergraduate courses, the thermodynamic and kinetic properties of N -component mixtures with N > 3 have remained relatively unexplored. An example of such a mixture is provided by the intracellular fluid, in which protein-rich droplets phase separate into distinct membraneless organelles. In this work, we investigate equilibrium phase behavior and morphology of N -component liquid mixtures within the Flory–Huggins theory of regular solutions. In order to determine the number of coexisting phases and their compositions, we developed a new algorithm for constructing complete phase diagrams, based on numerical convexification of the discretized free energy landscape. Together with a Cahn–Hilliard approach for kinetics, we employ this method to study mixtures with N = 4 and 5 components. We report on both the coarsening behavior of such systems, as well as the resulting morphologies in three spatial dimensions. We discuss how the number of coexisting phases and their compositions can be extracted with Principal Component Analysis (PCA) and K-means clustering algorithms. Finally, we discuss how one can reverse engineer the interaction parameters and volume fractions of components in order to achieve a range of desired packing structures, such as nested "Russian dolls" and encapsulated Janus droplets.