Search results for "hard-sphere"

showing 2 items of 2 documents

Hiding in plain view: Colloidal self-assembly from polydisperse populations.

2016

We report small-angle x-ray scattering (SAXS) experiments on aqueous dispersions of colloidal silica with a broad monomodal size distribution (polydispersity 18%, size 8 nm). Over a range of volume fractions the silica particles segregate to build first one, then two distinct sets of colloidal crystals. These dispersions thus demonstrate fractional crystallization and multiple-phase (bcc, Laves AB$_2$, liquid) coexistence. Their remarkable ability to build complex crystal structures from a polydisperse population originates from the intermediate-range nature of interparticle forces, and suggests routes for designing self-assembling colloidal crystals from the bottom-up.

Materials sciencecrystallizationColloidal silicaPopulationDispersitydistributionsGeneral Physics and AstronomyFOS: Physical sciencesNanotechnology02 engineering and technologyCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural scienceslaw.inventionsmall-angle scatteringColloidlawPhysics - Chemical PhysicsdispersionssuspensionsCrystallizationeducationChemical Physics (physics.chem-ph)[PHYS]Physics [physics]education.field_of_study[ PHYS ] Physics [physics]phase-transitionsColloidal crystal021001 nanoscience & nanotechnology0104 chemical sciences2 different sizesclose-packed structuresChemical physicshard-spherecharge renormalizationSoft Condensed Matter (cond-mat.soft)Self-assemblySmall-angle scattering0210 nano-technology
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Hard-Core Thinnings of Germ‒Grain Models with Power-Law Grain Sizes

2013

Random sets with long-range dependence can be generated using a Boolean model with power-law grain sizes. We study thinnings of such Boolean models which have the hard-core property that no grains overlap in the resulting germ‒grain model. A fundamental question is whether long-range dependence is preserved under such thinnings. To answer this question, we study four natural thinnings of a Poisson germ‒grain model where the grains are spheres with a regularly varying size distribution. We show that a thinning which favors large grains preserves the slow correlation decay of the original model, whereas a thinning which favors small grains does not. Our most interesting finding concerns the c…

Statistics and ProbabilityRegular variationDisjoint sets02 engineering and technologyPoisson distribution60D05 60G55Power law01 natural sciencesmarked Poisson processsymbols.namesake010104 statistics & probabilityFOS: Mathematics0202 electrical engineering electronic engineering information engineeringgerm‒grain modelGermStatistical physics60D050101 mathematicsMathematicsta115ta114ThinningBoolean modelApplied MathematicsProbability (math.PR)ta111Boolean model020206 networking & telecommunicationsHard sphereshard-core modelsymbolsSPHERES60G55hard-sphere modelMathematics - ProbabilityAdvances in Applied Probability
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