Journal
PHYSICAL REVIEW LETTERS
Volume 125, Issue 21, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.125.218003
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Funding
- NSF through the Princeton University Materials Research Science and Engineering Center [DMR-1420541]
- Research Experiences for Undergraduates (REU) [EEC-1559973]
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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.
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