Literature DB >> 32008448

Clustering and self-organization in small-scale natural and artificial systems.

Edward Bormashenko1, Alexander A Fedorets2, Mark Frenkel1, Leonid A Dombrovsky2,3, Michael Nosonovsky2,4.   

Abstract

Physical properties of clusters, i.e. systems composed of a 'small' number of particles, are qualitatively different from those of infinite systems. The general approach to the problem of clustering is suggested. Clusters, as they are seen in the graphs theory, are discussed. Various physical mechanisms of clustering are reviewed. Dimensional properties of clusters are addressed. The dimensionality of clusters governs to a great extent their properties. Weakly and strongly coupled clusters are discussed. Hydrodynamic and capillary interactions giving rise to clusters formation are surveyed. Levitating droplet clusters, turbulent clusters and droplet clusters responsible for the breath-figures self-assembly are considered. Entropy factors influencing clustering are considered. Clustering in biological systems results in non-equilibrium multi-scale assembly, where at each scale, self-driven components come together by consuming energy in order to form the hierarchical structure. This article is part of the theme issue 'Bioinspired materials and surfaces for green science and technology (part 3)'.

Keywords:  biological clusters; capillary interactions; cluster; dimension; hydrodynamic interactions; self-organization

Year:  2020        PMID: 32008448      PMCID: PMC7015285          DOI: 10.1098/rsta.2019.0443

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  30 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  Topology of the force network in the jamming transition of an isotropically compressed granular packing.

Authors:  Roberto Arévalo; Iker Zuriguel; Diego Maza
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-04-14

3.  Dynamics of cluster-surface collisions.

Authors:  C L Cleveland; U Landman
Journal:  Science       Date:  1992-07-17       Impact factor: 47.728

4.  Scale-similar clustering of heavy particles in the inertial range of turbulence.

Authors:  Taketo Ariki; Kyo Yoshida; Keigo Matsuda; Katsunori Yoshimatsu
Journal:  Phys Rev E       Date:  2018-03       Impact factor: 2.529

5.  Small Levitating Ordered Droplet Clusters: Stability, Symmetry, and Voronoi Entropy.

Authors:  Alexander A Fedorets; Mark Frenkel; Edward Bormashenko; Michael Nosonovsky
Journal:  J Phys Chem Lett       Date:  2017-11-03       Impact factor: 6.475

Review 6.  Two-dimensional flow of driven particles: a microfluidic pathway to the non-equilibrium frontier.

Authors:  Tsevi Beatus; Itamar Shani; Roy H Bar-Ziv; Tsvi Tlusty
Journal:  Chem Soc Rev       Date:  2017-09-18       Impact factor: 54.564

7.  Freely Jointed Polymers Made of Droplets.

Authors:  Angus McMullen; Miranda Holmes-Cerfon; Francesco Sciortino; Alexander Y Grosberg; Jasna Brujic
Journal:  Phys Rev Lett       Date:  2018-09-28       Impact factor: 9.161

8.  Self-Arranged Levitating Droplet Clusters: A Reversible Transition from Hexagonal to Chain Structure.

Authors:  Alexander A Fedorets; Mark Frenkel; Irina Legchenkova; Dmitry V Shcherbakov; Leonid A Dombrovsky; Michael Nosonovsky; Edward Bormashenko
Journal:  Langmuir       Date:  2019-11-12       Impact factor: 3.882

9.  On the role of hydrodynamic interactions in the engineered-assembly of droplet ensembles.

Authors:  Masila Danny Raj; Abeynaya Gnanasekaran; Raghunathan Rengaswamy
Journal:  Soft Matter       Date:  2019-10-09       Impact factor: 3.679

10.  Phenotypic and molecular identification and clustering of lactic acid bacteria and yeasts from wheat (species Triticum durum and Triticum aestivum) sourdoughs of Southern Italy.

Authors:  A Corsetti; P Lavermicocca; M Morea; F Baruzzi; N Tosti; M Gobbetti
Journal:  Int J Food Microbiol       Date:  2001-02-28       Impact factor: 5.277

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  1 in total

Review 1.  Scaling in Colloidal and Biological Networks.

Authors:  Michael Nosonovsky; Prosun Roy
Journal:  Entropy (Basel)       Date:  2020-06-04       Impact factor: 2.524

  1 in total

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