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We investigate the transport of interacting active run-and-tumble particles moving under an external drift force through a periodic array of obstacles for increasing drive amplitudes. For high activity where the system forms a motility…

软凝聚态物质 · 物理学 2024-04-23 C. Reichhardt , C. J. O. Reichhardt

We consider an overdamped particle with a general physical mechanism that creates noisy active movement (e.g., a run-and-tumble particle or active Brownian particle etc.), that is confined by an external potential. Focusing on the limit in…

统计力学 · 物理学 2023-08-23 Naftali R. Smith

We use the image solution technique to compute the leading order frequency-dependent self-mobility function of a small solid particle moving perpendicular to the surface of a spherical capsule whose membrane possesses shearing and bending…

流体动力学 · 物理学 2017-02-01 Abdallah Daddi-Moussa-Ider , Stephan Gekle

The dynamical mechanism at the origin of the non-local rheology of dense granular flows is investigated trough discrete element simulations. We show that the influence of a shear band on the mechanical behavior of a distant zone is…

软凝聚态物质 · 物理学 2014-05-12 M. Bouzid , M. Trulsson , P. Claudin , E. Clement , B. Andreotti

Chaotic transitions in inertial fluids typically proceed through a direct energy cascade from large to small scales. In contrast, active systems, composed of self propelled units, inject energy at microscopic scales and therefore exhibit an…

软凝聚态物质 · 物理学 2026-04-14 Partha Sarathi Mondal , Tamas Vicsek , Shradha Mishra

The stochastic trajectories of molecules in living cells, as well as the dynamics in many other complex systems, often exhibit memory in their path over long periods of time. In addition, these systems can show dynamic heterogeneities due…

Modeling of phenomena such as anomalous transport via fractional-order differential equations has been established as an effective alternative to partial differential equations, due to the inherent ability to describe large-scale behavior…

偏微分方程分析 · 数学 2021-10-25 Jorge Suzuki , Mamikon Gulian , Mohsen Zayernouri , Marta D'Elia

Using agent-based simulations of self-propelled particles subject to short-range repulsion and nematic alignment we explore the dynamical phases of a dense active material confined to the surface of a sphere. We map the dynamical phase…

软凝聚态物质 · 物理学 2018-04-25 Silke Henkes , M. Cristina Marchetti , Rastko Sknepnek

We derive a microscopic expression for a quantity $\mu$ that plays the role of chemical potential of Active Brownian Particles (ABPs) in a steady state in the absence of vortices. We show that $\mu$ consists of (i) an intrinsic chemical…

软凝聚态物质 · 物理学 2018-01-17 Siddharth Paliwal , Jeroen Rodenburg , René van Roij , Marjolein Dijkstra

We propose a minimal model of \emph{locally-activated diffusion}, in which the diffusion coefficient of a one-dimensional Brownian particle is modified in a prescribed way --- either increased or decreased --- upon each crossing of the…

统计力学 · 物理学 2015-05-30 O. Bénichou , N. Meunier , S. Redner , R. Voituriez

We study active surface wetting using a minimal model of bacteria that takes into account the intrinsic motility diversity of living matter. A mixture of "fast" and "slow" self-propelled Brownian particles is considered in the presence of a…

软凝聚态物质 · 物理学 2023-02-08 Mauricio Rojas-Vega , Pablo de Castro , Rodrigo Soto

The diffusion of micro- and nanoswimmers in a fluid, confined within irregular structures that impose entropic barriers, is often modeled using overdamped active Brownian dynamics, where viscous effects are paramount and inertia is…

软凝聚态物质 · 物理学 2026-04-03 Narender Khatri , Vikas Sharma , Anton F. Burnet , Suneet Kumar Awasthi

We show that dense active fluids comprising interacting particles with persistent self-propulsion are driven to a non-equilibrium steady state consisting of co-moving particles with co-aligned active forces. This velocity and force sorting…

软凝聚态物质 · 物理学 2025-09-03 Suman Dutta , Pinaki Chaudhuri , Madan Rao , Chandan Dasgupta

We consider active Brownian particles that intermittently switch between active and inactive states. Such behavior is ubiquitous at all scales, from bacteria to animals and in artificial active systems. We derive exact expressions for key…

统计力学 · 物理学 2025-09-24 Fernando Peruani , Debasish Chaudhuri

Fractional Brownian motion, a stochastic process with long-time correlations between its increments, is a prototypical model for anomalous diffusion. We analyze fractional Brownian motion in the presence of a reflecting wall by means of…

统计力学 · 物理学 2018-02-21 Alexander H. O. Wada , Thomas Vojta

This brief review recalls some chapters in theory of sliding incommensurate density waves which may have appeared after inspirations from studies of I.E Dzyaloshinskii and collaborations with him. First we address the spin density waves…

强关联电子 · 物理学 2021-06-16 Serguei Brazovskii , Natasha Kirova

Based on Brownian Dynamics (BD) simulations, we study the dynamical self-assembly of active Brownian particles with dipole-dipole interactions, stemming from a permanent point dipole at the particle center. The propulsion direction of each…

软凝聚态物质 · 物理学 2021-06-09 Guo-Jun Liao , Carol K. Hall , Sabine H. L. Klapp

Recent experimental studies have demonstrated that cellular motion can be directed by topographical gradients, such as those resulting from spatial variations in the features of a micropatterned substrate. This phenomenon, known as…

Systems comprised of self-steering active Brownian particles are studied via simulations for a minimal cognitive flocking model. The dynamics of the active Brownian particles is extended by an orientational response with limited…

软凝聚态物质 · 物理学 2024-06-04 Rajendra Singh Negi , Roland G. Winkler , Gerhard Gompper

Phase separation in a low-density gas-like phase and a high-density liquid-like one is a common trait of biological and synthetic self-propelling particles' systems. The competition between motility and stochastic forces is assumed to fix…

软凝聚态物质 · 物理学 2020-04-15 Pin Nie , Joyjit Chattoraj , Antonio Piscitelli , Patrick Doyle , Ran Ni , Massimo Pica Ciamarra