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相关论文: Unravelling the origins of anomalous diffusion: fr…

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We study a method for detecting the origins of anomalous diffusion, when it is observed in an ensemble of times-series, generated experimentally or numerically, without having knowledge about the exact underlying dynamics. The reasons for…

统计力学 · 物理学 2020-12-23 Erez Aghion , Philipp G. Meyer , Vidushi Adalkha , Holger Kantz , Kevin E. Bassler

We decompose the anomalous diffusive behavior found in a model of aging into its fundamental constitutive causes. The model process is a sum of increments that are iterates of a chaotic dynamical system, the Pomeau-Manneville map. The…

统计力学 · 物理学 2018-11-08 Philipp G. Meyer , Vidushi Adlakha , Holger Kantz , Kevin E. Bassler

We investigate the occurrence of anomalous diffusive transport associated with acoustic wave fields propagating through highly-scattering periodic media. Previous studies had correlated the occurrence of anomalous diffusion to either the…

无序系统与神经网络 · 物理学 2019-03-27 Salvatore Buonocore , Mihir Sen , Fabio Semperlotti

Variable Speed Generalized L\'{e}vy Walks (VGLWs) are a class of spatio-temporally coupled stochastic processes that unify a broad range of previously studied models within a single parametrized framework. Their dynamics consist of discrete…

统计力学 · 物理学 2025-12-19 Abhijit Bera , Kevin E. Bassler

We theoretically study the transport properties of self-propelled particles on complex structures, such as motor proteins on filament networks. A general master equation formalism is developed to investigate the persistent motion of…

软凝聚态物质 · 物理学 2014-09-19 M. Reza Shaebani , Zeinab Sadjadi , Igor M. Sokolov , Heiko Rieger , Ludger Santen

The transport equation of active motion is generalised to consider time-fractional dynamics for describing the anomalous diffusion of self-propelled particles observed in many different systems. In the present study, we consider an…

统计力学 · 物理学 2023-10-27 Francisco J. Sevilla , Guillermo Chacón-Acosta , Trifce Sandev

Diffusion and anomalous diffusion are widely observed and used to study movement across organisms, resulting in extensive use of the mean and mean-squared displacement (MSD). However, these measures - corresponding to specific displacement…

种群与进化 · 定量生物学 2025-08-14 Ohad Vilk , Motti Charter , Sivan Toledo , Eli Barkai , Ran Nathan

Many transport processes in nature exhibit anomalous diffusive properties with non-trivial scaling of the mean square displacement, e.g., diffusion of cells or of biomolecules inside the cell nucleus, where typically a crossover between…

统计力学 · 物理学 2015-09-16 Andrea Cairoli , Adrian Baule

Anomalous-diffusion, the departure of the spreading dynamics of diffusing particles from the traditional law of Brownian-motion, is a signature feature of a large number of complex soft-matter and biological systems. Anomalous-diffusion…

The motion of self-propelled particles is modeled as a persistent random walk. An analytical framework is developed that allows the derivation of exact expressions for the time evolution of arbitrary moments of the persistent walk's…

软凝聚态物质 · 物理学 2015-07-28 Zeinab Sadjadi , M. Reza Shaebani , Heiko Rieger , Ludger Santen

The problem of anomalous diffusion in momentum (velocity) space is considered based on the master equation and the appropriate probability transition function (PTF). The approach recently developed by the author for coordinate space, is…

统计力学 · 物理学 2015-05-18 S. A. Trigger

Anomalous transport processes in which the variance of the distance travelled does not necessarily increase linearly with time are modelled using the formalism of continuous time random walks. We compute particle propagators which have the…

天体物理学 · 物理学 2011-05-23 B. R. Ragot , J. G. Kirk

We analyze the citation time-series of manuscripts in three different fields of science; physics, social science and technology. The evolution of the time-series of the yearly number of citations, namely the citation trajectories, diffuse…

数字图书馆 · 计算机科学 2021-09-21 Maryam Zamani , Erez Aghion , Peter Pollner , Tamas Vicsek , Holger Kantz

Anomalous transport in a circular comb is considered. The circular motion takes place for a fixed radius, while radii are continuously distributed along the circle. Two scenarios of the anomalous transport, related to the reflecting and…

无序系统与神经网络 · 物理学 2021-01-29 A. Iomin

A ubiquitous observation in cell biology is that diffusion of macromolecules and organelles is anomalous, and a description simply based on the conventional diffusion equation with diffusion constants measured in dilute solution fails. This…

软凝聚态物质 · 物理学 2013-03-14 Felix Höfling , Thomas Franosch

The concept of random walk, in which particles or waves undergo multiple collisions with the microscopic constituents of a surrounding medium, is central to understanding diffusive transport across many research areas. However, this…

We investigate the long-term diffusion transport and chaos properties of single and coupled standard maps. We consider model parameters that are known to induce anomalous diffusion in the maps' phase spaces, as opposed to normal diffusion…

混沌动力学 · 物理学 2021-12-02 Henok Tenaw Moges , Thanos Manos , Charalampos Skokos

The state of a stochastic process evolving over a time $t$ is typically assumed to lie on a normal distribution whose width scales like $t^{1/2}$. However, processes where the probability distribution is not normal and the scaling exponent…

统计金融 · 定量金融 2017-05-24 Lijian Chen , Kevin E. Bassler , Joseph L. McCauley , Gemunu H. Gunaratne

We show through intensive simulations that the paradigmatic features of anomalous diffusion are indeed the features of a (continuous-time) random walk driven by two different Markovian hopping-trap mechanisms. If $p \in (0,1/2)$ and $1-p$…

统计力学 · 物理学 2022-05-25 Silvia Vitali , Paolo Paradisi , Gianni Pagnini

Anomalous diffusion phenomena occur on length scales spanning from intracellular to astrophysical ranges. A specific form of decay at large argument of the probability density function of rescaled displacement (scaling function) is derived…

统计力学 · 物理学 2023-05-23 Attilio L. Stella , Aleksei Chechkin , Gianluca Teza
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