Langevin Approach to Modeling of Small Levitating Ordered Droplet Clusters

Aktaev, Nurken E.; Fedorets, Alexander A.; Bormashenko, Edward; Nosonovsky, Michael

doi:10.1021/acs.jpclett.8b01693

Cited by 19 publications

(15 citation statements)

References 26 publications

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“…However, recent experiments with the cluster in an external electric field of different polarities have shown that the effect of the electrostatic force is negligible in comparison with that of the aerodynamic force [3]. Numerical simulations with the Langevin method taking into account droplet repulsion and random diffusion have also shown results similar to the experimental observations [35].…”

Section: Self-organized Levitating Droplet Clusterssupporting

confidence: 61%

Droplet clusters: nature-inspired biological reactors and aerosols

Fedorets

Bormashenko

Dombrovsky

et al. 2019

Phil. Trans. R. Soc. A.

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Condensed microdroplets play a prominent role in living nature, participating in various phenomena, from water harvesting by plants and insects to microorganism migration in bioaerosols. Microdroplets may also form regular self-organized patterns, such as the hexagonally ordered breath figures on a solid surface or levitating monolayer droplet clusters over a locally heated water layer. While the breath figures have been studied since the nineteenth century, they have found a recent application in polymer surface micropatterning (e.g. for superhydrophobicity). Droplet clusters were discovered in 2004, and they are the subject of active research. Methods to control and stabilize droplet clusters make them suitable for the in situ analysis of bioaerosols. Studying life in bioaerosols is important for understanding microorganism origins and migration; however, direct observation with traditional methods has not been possible. We report preliminary results on direct in situ observation of microorganisms in droplet clusters. We also present a newly observed transition between the hexagonally ordered and chain-like states of a droplet cluster. This article is part of the theme issue ‘Bioinspired materials and surfaces for green science and technology (part 2)’.

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Section: Self-organized Levitating Droplet Clusterssupporting

confidence: 61%

Droplet clusters: nature-inspired biological reactors and aerosols

Fedorets

Bormashenko

Dombrovsky

et al. 2019

Phil. Trans. R. Soc. A.

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“…An experimentally observed droplet cluster levitates in the center of the low-pressure region bounded by a local heating spot. The pressure is higher on the rim of this region rather than in its center so that the cluster is locked in a potential well (Fedorets et al 2019a;Aktaev et al 2018). Inside this well, the air humidity changes with height above the water surface.…”

Section: Diffusional Termmentioning

confidence: 97%

Condensational growth of water droplets in an external electric field at different temperatures

Gabyshev

Fedorets

Klemm

2020

Aerosol Science and Technology

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The condensational growth of water droplets in technical and natural systems varies with environmental conditions such as droplet size, droplet composition, air humidity, temperature, and turbulence. This contribution addresses the influence of external electrical fields on the condensation process. Although electrical fields exist in the atmosphere, for example in thunderstorm clouds, and although it is generally accepted that electrical fields exert an influence on the condensation process, no quantitative description of this influence at ambient temperatures exists. We present laboratory experiments and a theoretical model to further develop understanding of the influence of electric fields on condensation at various temperatures. The levitated droplet cluster technology is applied to study the kinetics of droplet growth in an external electric field at temperatures between 50 C and 70 C. The theoretical model is designed to mirror the experimental conditions as precisely as possible. Experimental and kinetic model results are in qualitative agreement in that the relative contribution of the electrically induced contribution to total condensation reduces with increasing temperature. Vice versa, the electrically induced condensation significance is expected to further increase with decreasing temperatures below 50 C. We expect that electrocondensation will be the dominating process at room temperatures and even more at temperatures near 0 C, at electric field strengths typical for clouds. Further studies are needed to extend the experimental and theoretical temperature range to conditions typical for clouds in the atmosphere.

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“…Even more interesting phenomena where the theory of networks can be applied are small droplet clusters [ 23 , 24 , 25 , 26 , 27 ] and small colloidal crystals. Self-assembled clusters of condensed microdroplets (with the typical diameter of dozens of microns) are formed in an ascending flow of vapor and air above a locally heated thin (approximately 1 mm) layer of water.…”

Section: Network In Colloidal Science: Granular Material Colloidmentioning

confidence: 99%

Scaling in Colloidal and Biological Networks

Nosonovsky

Roy

2020

Entropy

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Scaling and dimensional analysis is applied to networks that describe various physical systems. Some of these networks possess fractal, scale-free, and small-world properties. The amount of information contained in a network is found by calculating its Shannon entropy. First, we consider networks arising from granular and colloidal systems (small colloidal and droplet clusters) due to pairwise interaction between the particles. Many networks found in colloidal science possess self-organizing properties due to the effect of percolation and/or self-organized criticality. Then, we discuss the allometric laws in branching vascular networks, artificial neural networks, cortical neural networks, as well as immune networks, which serve as a source of inspiration for both surface engineering and information technology. Scaling relationships in complex networks of neurons, which are organized in the neocortex in a hierarchical manner, suggest that the characteristic time constant is independent of brain size when interspecies comparison is conducted. The information content, scaling, dimensional, and topological properties of these networks are discussed.

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Langevin Approach to Modeling of Small Levitating Ordered Droplet Clusters

Cited by 19 publications

References 26 publications

Droplet clusters: nature-inspired biological reactors and aerosols

Droplet clusters: nature-inspired biological reactors and aerosols

Condensational growth of water droplets in an external electric field at different temperatures

Scaling in Colloidal and Biological Networks

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