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相关论文: Copolymer Networks: Multifractal dimension spectra…

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We explore and calculate the rich scaling behavior of copolymer networks in solution by renormalization group methods. We establish a field theoretic description in terms of composite operators. Our 3rd order resummation of the spectrum of…

软凝聚态物质 · 物理学 2009-10-30 Christian von Ferber , Yurij Holovatch

We analyze the scaling laws for a set of two different species of long flexible polymer chains joined together at one of their extremities (copolymer stars) in space dimension D=2. We use a formerly constructed field-theoretic description…

软凝聚态物质 · 物理学 2009-11-07 Christian von Ferber , Yurij Holovatch

We extend existing renormalization group calculations for the exponents describing scaling of star polymers and polymer networks constituted by chains of different species (the so-called copolymer star exponents). Our four loop results find…

软凝聚态物质 · 物理学 2009-11-10 V. Schulte-Frohlinde , Yu. Holovatch , C. von Ferber , A. Blumen

We study scaling properties of self avoiding polymer stars and networks of arbitrary given but fixed topology. We use massive field theoretical renormalization group framework to calculate critical exponents governing their universal…

凝聚态物理 · 物理学 2007-05-23 Christian von Ferber , Yurij Holovatch

We study the multifractal properties of diffusion in the presence of an absorbing polymer and report the numerical values of the multifractal dimension spectra for the case of an absorbing self avoiding walk or random walk.

凝聚态物理 · 物理学 2007-05-23 Christian von Ferber , Yurij Holovatch

We characterize the multifractal behavior of Brownian motion in the vicinity of an absorbing star polymer. We map the problem to an O(M)-symmetric phi^4-field theory relating higher moments of the Laplacian field of Brownian motion to…

凝聚态物理 · 物理学 2016-08-31 Christian von Ferber , Yurij Holovatch

Complex networks have recently attracted much attention in diverse areas of science and technology. Many networks such as the WWW and biological networks are known to display spatial heterogeneity which can be characterized by their fractal…

生物物理 · 物理学 2015-05-30 Dan-Ling Wang , Zu-Guo Yu , Vo Anh

We compute the spectrum of scaling dimensions of Coulomb branch operators in 4d rank-2 $\mathcal{N}{=}2$ superconformal field theories. Only a finite rational set of scaling dimensions is allowed. It is determined by using information about…

高能物理 - 理论 · 物理学 2020-10-13 Philip C. Argyres , Cody Long , Mario Martone

We consider star polymers, consisting of two different polymer species, in a solvent subject to quenched correlated structural obstacles. We assume that the disorder is correlated with a power-law decay of the pair correlation function…

软凝聚态物质 · 物理学 2011-01-17 Viktoria Blavatska , Christian von Ferber , Yurij Holovatch

We study the scaling properties of polymers in a d-dimensional medium with quenched defects that have power law correlations ~r^{-a} for large separations r. This type of disorder is known to be relevant for magnetic phase transitions. We…

软凝聚态物质 · 物理学 2009-11-07 Victoria Blavats'ka , Christian von Ferber , Yurij Holovatch

We prove to all orders of renormalized perturbative polymer field theory the existence of a short chain expansion applying to polymer solutions of long and short chains. For a general polymer network with long and short chains we show…

凝聚态物理 · 物理学 2016-08-31 Christian von Ferber

We show that the collapsed globular phase of a polymer accommodates a scale-free incompatibility graph of its contacts. The degree distribution of this network is found to decay with the exponent $\gamma = 1/(2-c)$ up to a cut-off degree…

统计力学 · 物理学 2009-11-10 A. Kabakcioglu , A. L. Stella

Polymer's network is treated as an anisotropic fractal with fractional dimensionality D = 1 + \epsilon close to one. Percolation model on such a fractal is studied. Using the real space renormalization group approach of Migdal and Kadanoff…

无序系统与神经网络 · 物理学 2009-10-30 A. N. Samukhin , V. N. Prigodin , L. Jastrabik

Network filtering is an important form of dimension reduction to isolate the core constituents of large and interconnected complex systems. We introduce a new technique to filter large dimensional networks arising out of dynamical behavior…

机器学习 · 统计学 2021-01-25 Arnab Chakrabarti , Anindya S. Chakrabarti

The dynamics of complex networks, being a current hot topic of many scientific fields, is often coded through the corresponding Laplacian matrix. The spectrum of this matrix carries the main features of the networks' dynamics. Here we…

统计力学 · 物理学 2016-04-05 Hongxiao Liu , Yuan Lin , Maxim Dolgushev , Zhongzhi Zhang

Our work is concerned with simplicial complexes that describe higher-order interactions in real complex systems. This description allows to go beyond the pairwise node-to-node representation that simple networks provide and to capture a…

统计力学 · 物理学 2025-11-13 Sara Najem , Dima Mrad , Mohammad Elsayed

Starting from the working hypothesis that both physics and the corresponding mathematics have to be described by means of discrete concepts on the Planck-scale, one of the many problems one has to face in this enterprise is to find the…

高能物理 - 理论 · 物理学 2010-05-12 Thomas Nowotny , Manfred Requardt

We compute the far-from-equilibrium dynamics of relativistic scalar quantum fields in 3+1 space-time dimensions starting from over-occupied initial conditions. We determine universal scaling exponents and functions for two-point correlators…

高能物理 - 唯象学 · 物理学 2020-03-11 Linda Shen , Jürgen Berges

We study the properties of operators in a unitary conformal field theory whose scaling dimensions approach each other for some values of the parameters and satisfy von Neumann-Wigner non-crossing rule. We argue that the scaling dimensions…

高能物理 - 理论 · 物理学 2016-05-04 G. P. Korchemsky

In this paper, we propose a general framework that extends the theory of permutation patterns to higher dimensions and unifies several combinatorial objects studied in the literature. Our approach involves introducing the concept of a…

组合数学 · 数学 2024-11-06 Shaoshi Chen , Hanqian Fang , Sergey Kitaev , Candice X. T. Zhang
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