2017
DOI: 10.1021/acs.jpcc.7b09317
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Particle-Resolved Phase Identification in Two-Dimensional Condensable Systems

Abstract: A method for phase identification (MPI) in two-dimensional (2D) condensable systems is proposed on the basis of the analysis of the Voronoi cells’ characteristics. A simple algorithm is developed for determination of particles belonging to a condensate, a gaseous state, and an interface between them (“surface”). The efficiency and stability of the developed method is studied using molecular dynamics simulations and calculation of binodals in 2D systems with both short- and long-range attraction between partic… Show more

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Cited by 32 publications
(29 citation statements)
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References 65 publications
(111 reference statements)
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“…Phase states at different magnitudes of rotating magnetic fields and densities can be analyzed using, for example, the method for phase identification. 26 The derived phase diagram can then be directly compared with results of the present paper.…”
Section: Discussionmentioning
confidence: 98%
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“…Phase states at different magnitudes of rotating magnetic fields and densities can be analyzed using, for example, the method for phase identification. 26 The derived phase diagram can then be directly compared with results of the present paper.…”
Section: Discussionmentioning
confidence: 98%
“…The liquid-gas binodals were calculated using the plane layer method, which is standard for MD simulations. 26,72,75 After equilibration, the density of the layer (normal to the z-axis) was fitted by the following profile:…”
Section: Article Scitationorg/journal/jcpmentioning
confidence: 99%
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“…An external electric field polarizes the particles and ion clouds in the solvent around them, inducing a (tunable) dipole-dipole interaction between the particles. Depending on the orientation of the external electric field with respect to the plane of particle confinement, the dipolar interaction potential can be either attractive [24][25][26][27] or repulsive [28][29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%