http://www.cnr.it/ontology/cnr/individuo/prodotto/ID185787
Reduced computations for nematic-liquid crystals: A timestepper approach for systems with continuous symmetries (Articolo in rivista)
- Type
- Label
- Reduced computations for nematic-liquid crystals: A timestepper approach for systems with continuous symmetries (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.jnnfm.2006.10.001 (literal)
- Alternative label
Russo, L ; Siettos, CI ; Kevrekidis, IG (2007)
Reduced computations for nematic-liquid crystals: A timestepper approach for systems with continuous symmetries
in Journal of non-Newtonian fluid mechanics (Print)
(literal)
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- Russo, L ; Siettos, CI ; Kevrekidis, IG (literal)
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- ISI Web of Science (WOS) (literal)
- Scopus (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Lucia Russo: University \"Federico II\" of Naples, Department of Chemical Engineering, Piazzale Tecchio 80, 80125 Naples, Italy.
Constantinos I. Siettos: National Technical University of Athens, School of Applied Mathematics & Physical Sciences, 9, Heroon Polytechniou Str., Zografou, GR 157 80 Athens, Greece.
Ioannis G. Kevrekidis: Princeton University, Department of Chemical Engineering and Program of Applied and Computational Mathematics, Princeton, NJ 08544, USA. (literal)
- Titolo
- Reduced computations for nematic-liquid crystals: A timestepper approach for systems with continuous symmetries (literal)
- Abstract
- In this work we address the development of a timestepper based computational approach to analyse the dynamics of the Smoluchowski equation directly, bypassing the necessity of finding closures to construct low-order macroscopic models, while at the same time factoring out in a dynamic way the underlying continuous symmetry. This can be thought as a two-tier model reduction methodology for systems with continuous symmetries: going from models with a large numbers of degrees of freedom to more compact models, in terms of a smaller number of dependent variables, while also taking care of the underlying invariance. (literal)
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