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Flory theory of randomly branched polymers

Everaers, Ralf
•
Grosberg, Alexander Y.
•
Rubinstein, Michael
•
Rosa, Angelo
2017
  • journal article

Periodico
SOFT MATTER
Abstract
Randomly branched polymer chains (or trees) are a classical subject of polymer physics with connections to the theory of magnetic systems, percolation and critical phenomena. More recently, the model has been reconsidered for RNA, supercoiled DNA and the crumpling of topologically-constrained polymers. While solvable in the ideal case, little is known exactly about randomly branched polymers with volume interactions. Flory theory provides a simple, unifying description for a wide range of branched systems, including isolated trees in good and [small theta]-solvent, and tree melts. In particular, the approach provides a common framework for the description of randomly branched polymers with quenched connectivity and for randomly branching polymers with annealed connectivity. Here we review the Flory theory for interacting trees in the asymptotic limit of very large polymerization degree for good solvent, [small theta]-solutions and melts, and report its predictions for annealed connectivity in [small theta]-solvents. We compare the predictions of Flory theory for randomly branched polymers to a wide range of available analytical and numerical results and conclude that they are qualitatively excellent and quantitatively good in most cases.
DOI
10.1039/C6SM02756C
WOS
WOS:000396024100013
Archivio
http://hdl.handle.net/20.500.11767/47144
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85011949663
http://dx.doi.org/10.1039/C6SM02756C
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5325128&blobtype=pdf
Diritti
closed access
Soggetti
  • critical exponent

  • monte-carlo

  • 3 dimension

  • edge singularity

  • lattice animal

  • ring polymer

  • field-theory

  • theta-point

  • model

  • chain

  • Settore FIS/03 - Fisi...

Scopus© citazioni
38
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
50
Data di acquisizione
Mar 26, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
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