Clustering and self-organization in small-scale natural and artificial systems. (3rd February 2020)
- Record Type:
- Journal Article
- Title:
- Clustering and self-organization in small-scale natural and artificial systems. (3rd February 2020)
- Main Title:
- Clustering and self-organization in small-scale natural and artificial systems
- Authors:
- Bormashenko, Edward
Fedorets, Alexander A.
Frenkel, Mark
Dombrovsky, Leonid A.
Nosonovsky, Michael - Abstract:
- 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)'.
- Is Part Of:
- Philosophical transactions. Volume 378:Number 2167(2020)
- Journal:
- Philosophical transactions
- Issue:
- Volume 378:Number 2167(2020)
- Issue Display:
- Volume 378, Issue 2167 (2020)
- Year:
- 2020
- Volume:
- 378
- Issue:
- 2167
- Issue Sort Value:
- 2020-0378-2167-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02-03
- Subjects:
- cluster -- self-organization -- dimension -- capillary interactions -- hydrodynamic interactions -- biological clusters
Physical sciences -- Periodicals
Engineering -- Periodicals
Mathematics -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/loi/rsta ↗
- DOI:
- 10.1098/rsta.2019.0443 ↗
- Languages:
- English
- ISSNs:
- 1364-503X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 12789.xml