A machine learning algorithm for retrieving the geometrical characteristic parameters of soot fractal aggregates from polarized light signal
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DOI: 10.1016/j.ijleo.2021.166473
Abstract: Abstract Polarized light measurement technology is provided to study geometric characteristics of soot fractal aggregates. The inverse problem is solved by two mature applications of machine learning, i.e. stacked ensemble model and deep network. A… read more here.
Keywords: fractal aggregates; polarized light; machine learning; network ... See more keywords
The effect of electric-field-induced alignment on the electrical mobility of fractal aggregates
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DOI: 10.1080/02786826.2018.1427210
Abstract: ABSTRACT We study the effects of electric field strength on the mobility of soot-like fractal aggregates (fractal dimension of 1.78). The probability distribution for the particle orientation is governed by the ratio of the interaction… read more here.
Keywords: field induced; fractal aggregates; mobility; field ... See more keywords
FRACTAL AGGREGATES ON GEOMETRIC GRAPHS
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DOI: 10.1142/s0218348x1850038x
Abstract: We study the aggregation process on the geometric graph. The geometric graph is composed by sites randomly distributed in space and connected locally. Similar to the regular lattice, the network po... read more here.
Keywords: aggregates geometric; fractal aggregates; geometric graphs;
Multi-angle holographic characterization of individual fractal aggregates.
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DOI: 10.1364/oe.470046
Abstract: Holographic particle characterization uses quantitative analysis of holographic microscopy data to precisely and rapidly measure the diameter and refractive index of individual colloidal spheres in their native media. When this technique is applied to inhomogeneous… read more here.
Keywords: fractal aggregates; individual fractal; holographic characterization; refractive index ... See more keywords