{"title":"Viscoelastic relaxation of random scale-free copolymer networks.","authors":"Marcus V Alves Ribeiro, Mircea Galiceanu","doi":"10.1103/PhysRevE.110.064502","DOIUrl":null,"url":null,"abstract":"<p><p>We study the viscoelastic relaxation dynamics of scale-free copolymer networks in the generalized Gaussian structures framework. We focus on the real and imaginary components of the complex dynamic modulus G^{*}(ω): the storage and loss moduli. Our chosen scale-free network model builds distinct types of hyperbranched copolymers by a careful tuning of the construction parameters, such as γ, which controls the node connectivity, or the minimum allowed degree K_{min} and the maximum allowed degree K_{max}. These parameters, together with the parameters that govern the monomer-type distribution, provide significative distinct behaviors. By only varying γ we change the topology of the copolymers and a local maximum in the region of high frequencies or a constant slope in the intermediate frequency region become more evident. Both K_{min} and K_{max} play an important role, especially in the region of intermediate frequency domain. The ratio σ between the friction coefficients ζ_{A} and ζ_{B} of the A and B beads gives birth to new features, such as, new quasiplateaus or new peaks along with a shift toward lower or higher frequencies depending on the ratio value. The ratio η between the number of A and B monomers influences the size of the constant slope for intermediate frequencies and it is responsible for the symmetry of the two peaks of the loss modulus.</p>","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"110 6-1","pages":"064502"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Review E","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1103/PhysRevE.110.064502","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, FLUIDS & PLASMAS","Score":null,"Total":0}
引用次数: 0
Abstract
We study the viscoelastic relaxation dynamics of scale-free copolymer networks in the generalized Gaussian structures framework. We focus on the real and imaginary components of the complex dynamic modulus G^{*}(ω): the storage and loss moduli. Our chosen scale-free network model builds distinct types of hyperbranched copolymers by a careful tuning of the construction parameters, such as γ, which controls the node connectivity, or the minimum allowed degree K_{min} and the maximum allowed degree K_{max}. These parameters, together with the parameters that govern the monomer-type distribution, provide significative distinct behaviors. By only varying γ we change the topology of the copolymers and a local maximum in the region of high frequencies or a constant slope in the intermediate frequency region become more evident. Both K_{min} and K_{max} play an important role, especially in the region of intermediate frequency domain. The ratio σ between the friction coefficients ζ_{A} and ζ_{B} of the A and B beads gives birth to new features, such as, new quasiplateaus or new peaks along with a shift toward lower or higher frequencies depending on the ratio value. The ratio η between the number of A and B monomers influences the size of the constant slope for intermediate frequencies and it is responsible for the symmetry of the two peaks of the loss modulus.
期刊介绍:
Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.