2017
DOI: 10.1063/1.4984938
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Colloidal diffusion over a quasicrystalline-patterned surface

Abstract: We report a systematic study of colloidal diffusion over a substrate with quasicrystalline-patterned holes. Silica spheres of diameter comparable to the hole diameter diffuse over the patterned substrate and experience a gravitational potential U(x, y). Using optical microscopy, we track the particle trajectories and find two distinct states: a trapped state when the particles are inside the holes and a freediffusion state when they are on the flat surface outside the holes. The potential U(x, y) and dynamic p… Show more

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Cited by 17 publications
(15 citation statements)
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“…In order to validate our simulations against theoretical expectations, we apply a mean-squared-displacement (MSD) analysis to about five particle trajectories and extract effective lattice diffusion coefficients, D eff , for the particle. We verify that the simulated D eff values satisfy the Lifson-Jackson relation in both one and two dimensions for values of W ranging from 3 to 8 k B T [29,33] [34] and demonstrated a measurement of the effective diffusion coefficient, D eff , of a particle [9]. However, knowledge of D eff alone yields neither the well depth, W, nor the particle's free diffusion coefficient, D, which reflects its hydrodynamic radius, r H .…”
Section: B Effective Diffusion Coefficient Of a Particle In The Latticementioning
confidence: 66%
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“…In order to validate our simulations against theoretical expectations, we apply a mean-squared-displacement (MSD) analysis to about five particle trajectories and extract effective lattice diffusion coefficients, D eff , for the particle. We verify that the simulated D eff values satisfy the Lifson-Jackson relation in both one and two dimensions for values of W ranging from 3 to 8 k B T [29,33] [34] and demonstrated a measurement of the effective diffusion coefficient, D eff , of a particle [9]. However, knowledge of D eff alone yields neither the well depth, W, nor the particle's free diffusion coefficient, D, which reflects its hydrodynamic radius, r H .…”
Section: B Effective Diffusion Coefficient Of a Particle In The Latticementioning
confidence: 66%
“…Our goal is to accurately determine both the trapped and free diffusive time scales for a single particle migrating in a periodic lattice in order to obtain measures for both W and D (r H ) from a single transport trajectory. A recent study on colloidal particle transport in a quasicrystalline lattice illustrates the subtleties involved and shows how the lack of crystalline order in the landscape introduces more complex free diffusive behavior, thus necessitating averaging over an ensemble of particles in order to measure both W and r H [34].…”
Section: Trapped and Free Diffusive-state Lifetimes For A Single Pmentioning
confidence: 99%
“…Pt-coated) surfaces. Our study touches also fundamental questions concerning hydrodynamic coupling phenomena in the lubrication regime [22] and non-equilibrium transport near crystalline [33] or quasi-crystalline [34] surfaces.…”
Section: Discussionmentioning
confidence: 74%
“…Creating a model system of colloidal particles in an optical potential energy landscape leads to a far more accessible system with increased control. Particle motion across random potential energy landscapes has led to observed subdiffusion [15][16][17][18][19][20], which can be controlled with surface roughness [15]. Exact particle motion has been shown to heavily rely on the form of the landscape and can give rise to freely diffusive as well as trapped particles [16,21].…”
Section: Introductionmentioning
confidence: 99%
“…Particle motion across random potential energy landscapes has led to observed subdiffusion [15][16][17][18][19][20], which can be controlled with surface roughness [15]. Exact particle motion has been shown to heavily rely on the form of the landscape and can give rise to freely diffusive as well as trapped particles [16,21]. Further to this, the study of colloidal particle transport across periodic potential energy surfaces has led to many interesting observations such as subdiffusion [22,23], superdiffusion [23][24][25][26], ballistic motion [26,27] and synchronisation [28][29][30].…”
Section: Introductionmentioning
confidence: 99%