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Sökning: L773:0022 2720 OR L773:1365 2818 > (2015-2019) > From static microgr...

From static micrographs to particle aggregation dynamics in three dimensions

Häbel, Henrike, 1987 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics
Särkkä, Aila, 1962 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics
Rudemo, Mats, 1937 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics
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Hamngren Blomqvist, Charlotte, 1984 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Olsson, Eva, 1960 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Abrahamsson, Christoffer, 1984 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Nordin, Matias, 1981 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2015-11-19
2016
Engelska.
Ingår i: Journal of Microscopy. - : Wiley. - 1365-2818 .- 0022-2720. ; 262:1, s. 102-111
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Studies on colloidal aggregation have brought forth theories on stability of colloidal gels and models for aggregation dynamics. Still, a complete link between developed frameworks and obtained laboratory observations has to be found. In this work, aggregates of silica nanoparticles (20 nm) are studied using diffusion limited cluster aggregation (DLCA) and reaction limited cluster aggregation (RLCA) models. These processes are driven by the probability of particles to aggregate upon collision. This probability of aggregation is one in the DLCA and close to zero in the RLCA process. We show how to study the probability of aggregation from static micrographs on the example of a silica nanoparticle gel at 9 wt%. The analysis includes common summary functions from spatial statistics, namely the empty space function and Ripley's K-function, as well as two newly developed summary functions for cluster analysis based on graph theory. One of the new cluster analysis functions is related to the clustering coefficient in communication networks and the other to the size of a cluster. All four topological summary statistics are used to quantitatively compare in plots and in a least-square approach experimental data to cluster aggregation simulations with decreasing probabilities of aggregation. We study scanning transmission electron micrographs and utilize the intensity - mass thickness relation present in such images to create comparable micrographs from three-dimensional simulations. Finally, a characterization of colloidal silica aggregates and simulated structures is obtained, which allows for an evaluation of the cluster aggregation process for different aggregation scenarios. As a result, we find that the RLCA process fits the experimental data better than the DLCA process.

Ämnesord

NATURVETENSKAP  -- Fysik -- Annan fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Other Physics Topics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Materialteknik -- Annan materialteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Materials Engineering -- Other Materials Engineering (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Nyckelord

Nanoparticle aggregation
Replicated point patterns
Cluster analysis
Micrographs
Cluster analysis
Micrographs
Nanoparticle aggregation
Replicated point patterns

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