2021
DOI: 10.1088/1742-5468/ac096a
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On gyration radius distributions of star-like macromolecules

Abstract: Using the path integral approach, we obtain the characteristic functions of the gyration radius distributions for Gaussian star and Gaussian rosette macromolecules. We derive the analytical expressions for cumulants of both distributions. Applying the steepest descent method, we estimate the probability distribution functions (PDFs) of the gyration radius in the limit of a large number of star and rosette arms in two limiting regimes: for strongly expanded and strongly collapsed macromolecules. We show that in… Show more

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Cited by 1 publication
(2 citation statements)
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“…Recently, both the analytical and numerical estimates for the universal ratios (1) and ( 2) have been obtained in Refs. [26,27,35] for so-called rosette structure, containing single branching point with f r closed rings and f c linear chains, which can be considered as bottlebrush polymers with n = 2. Note that the probability distribution functions of the gyration radii of Gaussian star and rosette structures have been derived analytically in Ref.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, both the analytical and numerical estimates for the universal ratios (1) and ( 2) have been obtained in Refs. [26,27,35] for so-called rosette structure, containing single branching point with f r closed rings and f c linear chains, which can be considered as bottlebrush polymers with n = 2. Note that the probability distribution functions of the gyration radii of Gaussian star and rosette structures have been derived analytically in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Note that the probability distribution functions of the gyration radii of Gaussian star and rosette structures have been derived analytically in Ref. [35] as well. In this approach, an estimate for the Gaussian bottlebrush polymers containing n branching points of functionality f is found in Ref.…”
Section: Introductionmentioning
confidence: 99%