A fast and accurate implementation of tunable algorithms used for generation of fractal-like aggregate models

Skorupski, Krzysztof; Mroczka, Janusz; Wriedt, Thomas; Riefler, Norbert

doi:10.1016/j.physa.2014.02.072

Cited by 83 publications

(55 citation statements)

References 20 publications

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“…To generate the fractal soot aggregates, we used the program validated and released by Skorupski et al [30] and chose the particle-cluster aggregation algorithm [31] in this program. We focused on morphological factors of the monomer number N s and the fractal dimension D f .…”

Section: Generation Of Bare Soot Aggregatesmentioning

confidence: 99%

Morphological effects on the radiative properties of soot aerosols in different internally mixing states with sulfate

Dong

Zhao

Liu

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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Section: Generation Of Bare Soot Aggregatesmentioning

confidence: 99%

Morphological effects on the radiative properties of soot aerosols in different internally mixing states with sulfate

Dong

Zhao

Liu

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…Wang and Sorensen [47] experimentally validated the RDG approximation by comparing the measured scattering cross-sections at 488 nm of aggregates with fractal dimension D f of 1.75, composed of monodisperse monomers 20 nm in diameter made of SiO 2 (m¼ 1.46) or TiO 2 (m¼2. 61). Note that at this wavelength, absorption by the aggregates could be ignored.…”

Section: The Rayleigh-debye-gans (Rdg) Approximationmentioning

confidence: 99%

“…First, fractal aggregates were generated using the particle cluster aggregation program validated and released by Mroczka and co-workers [40,41,61]. All monomers in the aggregate were in contact with each other but did not overlap.…”

Section: Fractal Aggregate Generationmentioning

confidence: 99%

Absorption and scattering by fractal aggregates and by their equivalent coated spheres

Kandilian

Heng

Pilon

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…Skorupski et al 31 further improved this algorithm and developed a fast computational implementation. In this work, we have implemented the improved algorithm by following Skorupski et al Figure 1 gives examples of the constructed fractal agglomerate with different D f .…”

Section: A Numerical Construction Of Fractal Agglomeratesmentioning

confidence: 99%

Simulation of atomic layer deposition on nanoparticle agglomerates

Jin

Kleijn

Ommen

2016

Journal of Vacuum Science &Amp; Technology A: Vacuum, Surfaces, and Films

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Coated nanoparticles have many potential applications; production of large quantities is feasible by atomic layer deposition (ALD) on nanoparticles in a fluidized bed reactor. However, due to the cohesive interparticle forces, nanoparticles form large agglomerates, which influences the coating process. In order to study this influence, the authors have developed a novel computational modeling approach which incorporates (1) fully resolved agglomerates; (2) a self-limiting ALD half cycle reaction; and (3) gas diffusion in the rarefied regime modeled by direct simulation Monte Carlo. In the computational model, a preconstructed fractal agglomerate of up to 2048 spherical particles is exposed to precursor molecules that are introduced from the boundaries of the computational domain and react with the particle surfaces until these are fully saturated. With the computational model, the overall coating time for the nanoparticle agglomerate has been studied as a function of pressure, fractal dimension, and agglomerate size. Starting from the Gordon model for ALD coating within a cylindrical hole or trench [Gordon et al., Chem. Vap. Deposition 9, 73 (2003)], the authors also developed an analytic model for ALD coating of nanoparticles in fractal agglomerates. The predicted coating times from this analytic model agree well with the results from the computational model for Df = 2.5. The analytic model predicts that realistic agglomerates of O(109) nanoparticles require coating times that are 3–4 orders of magnitude larger than for a single particle.

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A fast and accurate implementation of tunable algorithms used for generation of fractal-like aggregate models

Cited by 83 publications

References 20 publications

Morphological effects on the radiative properties of soot aerosols in different internally mixing states with sulfate

Morphological effects on the radiative properties of soot aerosols in different internally mixing states with sulfate

Absorption and scattering by fractal aggregates and by their equivalent coated spheres

Simulation of atomic layer deposition on nanoparticle agglomerates

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