Issue |
EPL
Volume 105, Number 2, January 2014
|
|
---|---|---|
Article Number | 28006 | |
Number of page(s) | 6 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/105/28006 | |
Published online | 11 February 2014 |
Comparing open and closed molecular self-assembly
1 Laboratoire de Physique, Ecole Normale Supérieure de Lyon, Université de Lyon and CNRS 46 Allée d'Italie, 69364 Lyon Cedex 07, France
2 Laboratoire de Physique Statistique, Ecole Normale Supérieure, Université Pierre et Marie Curie, Université Paris Diderot and CNRS - 24 Rue Lhomond, 75005 Paris, France
Received: 22 November 2013
Accepted: 20 January 2014
We study theoretically in the present work the self-assembly of molecules in an open system, which is fed by monomers and depleted in partial or complete clusters. Such a scenario is likely to occur for example in the context of viral self-assembly. We provide a general formula for the mean-field size distribution which is valid both at equilibrium in a closed system, and in the stationary state in an open system. This allows us to explore in a simple way out-of-equilibrium features for self-assembly and compare them to equilibrium properties. In particular, we identify a region of parameter space for which the out-of-equilibrium size distribution in the presence of external fluxes is equal to the equilibrium size distribution in the absence of external fluxes, up to a constant renormalization factor. The range of validity of this result and its consequences are discussed.
PACS: 81.16.Fg – Supramolecular and biochemical assembly / 82.39.-k – Chemical kinetics in biological systems / 05.65.+b – Self-organized systems
© EPLA, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.