| Literature DB >> 33275007 |
Sheng Mao1,2, Milena S Chakraverti-Wuerthwein3, Hunter Gaudio2,4, Andrej Košmrlj2,5.
Abstract
Phase separation of multicomponent liquid mixtures plays an integral part in many processes ranging from industry to cellular biology. In many cases the morphology of coexisting phases is crucially linked to the function of the separated mixture, yet it is unclear what determines the morphology when multiple phases are present. We developed a graph theory approach to predict the topology of coexisting phases from a given set of surface energies, enumerate all topologically distinct morphologies, and reverse engineer conditions for surface energies that produce the target morphology.Year: 2020 PMID: 33275007 DOI: 10.1103/PhysRevLett.125.218003
Source DB: PubMed Journal: Phys Rev Lett ISSN: 0031-9007 Impact factor: 9.161