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Colloidal particle aggregation in three dimensions
Author(s) -
HÄBEL HENRIKE,
SÄRKKÄ AILA,
RUDEMO MATS,
BLOMQVIST CHARLOTTE HAMNGREN,
OLSSON EVA,
NORDIN MATIAS
Publication year - 2019
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.12823
Subject(s) - particle aggregation , particle (ecology) , cluster (spacecraft) , colloid , aggregate (composite) , materials science , biological system , electron tomography , nanoparticle , particle size , transmission electron microscopy , scanning transmission electron microscopy , nanotechnology , chemical physics , statistical physics , computer science , chemistry , physics , oceanography , biology , programming language , geology
Summary Colloidal systems are of importance not only for everyday products, but also for the development of new advanced materials. In many applications, it is crucial to understand and control colloidal interaction. In this paper, we study colloidal particle aggregation of silica nanoparticles, where the data are given in a three‐dimensional micrograph obtained by high‐angle annular dark field scanning transmission electron microscopy tomography. We investigate whether dynamic models for particle aggregation, namely the diffusion limited cluster aggregation and the reaction limited cluster aggregation models, can be used to construct structures present in the scanning transmission electron microscopy data. We compare the experimentally obtained silica aggregate to the simulated postaggregated structures obtained by the dynamic models. In addition, we fit static Gibbs point process models, which are commonly used models for point patterns with interactions, to the silica data. We were able to simulate structures similar to the silica structures by using Gibbs point process models. By fitting Gibbs models to the simulated cluster aggregation patterns, we saw that a smaller probability of aggregation would be needed to construct structures similar to the observed silica particle structure.

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