1,721,266 research outputs found

    A Quorum Sensing Active Matter in a Confined Geometry

    No full text
    Inspired by the problem of biofilm growth, we numerically investigate clustering in a two-dimensional suspension of active (Janus) particles of finite size confined in a circular cavity. Their dynamics is regulated by a non-reciprocal mechanism that causes them to switch from active to passive above a certain threshold of the perceived near-neighbor density (quorum sensing). A variety of cluster phases, i.e., glassy, solid (hexatic) and liquid, are observed, depending on the particle dynamics at the boundary, the quorum sensing range, and the level of noise

    Enhanced buoyancy of active particles in convective flows

    Full text link
    We numerically investigated the diffusion of a heavy active Brownian particle in a linear periodic array of steady planar counter-rotating convection rolls at high Peclet numbers. We show that, under certain conditions, the particle rises to the surface even if it is denser than the suspension fluid, and floats there for exceedingly long times. Such an apparently counterintuitive phenomenon of ``enhanced buoyancy{''} is a combined effect of gravity, advection, and shear torque

    Consistent Hamiltonian models for space-momentum diffusion

    No full text
    We develop a unified Hamiltonian approach to the diffusion of a particle coupled to a dissipative environment, an archetypal model widely invoked to interpret condensed phase phenomena, such as polymerization and cold-atom diffusion in optical lattices. By appropriate choices of the coupling functions, we reformulate phenomenological diffusion models by adding otherwise ignored space-momentum terms. We thus numerically predict a variety of diffusion regimes, from diffusion saturation to superballistic diffusion. With reference to ultracold atoms in optical lattices, we also show that time correlated external noises prevent superdiffusion from exceeding Richardson???s law. Some of these results are unexpected and call for experimental validation

    Hardness of T-carbon: Density functional theory calculations

    No full text
    We reconsider and interpret the mechanical properties of the recently proposed allotrope of carbon, T-carbon [Sheng et al., Phys. Rev. Lett. 106, 155703 (2011)], using density functional theory in combination with different empirical hardness models. In contrast with the early estimation based on Gao et al.'s model, which attributes to T-carbon a high Vickers hardness of 61 GPa comparable to that of superhard cubic boron nitride (c-BN), we find that T-carbon is not a superhard material, since its Vickers hardness does not exceed 10 GPa. Besides providing clear evidence for the absence of superhardness in T-carbon, we discuss the physical reasons behind the failure of Gao et al.'s and Simunek and Vackar's (SV) models in predicting the hardness of T-carbon, residing in their improper treatment of the highly anisotropic distribution of quasi-sp(3)-like C-C hybrids. A possible remedy for the Gao et al. and SV models based on the concept of the superatom is suggested, which indeed yields a Vickers hardness of about 8 GPa

    Advection-enhanced diffusion in biased convection arrays

    No full text
    We numerically investigated the transport of a passive colloidal particle in a one-dimensional periodic array of planar counter-rotating convection rolls at high Peclet numbers. We show that advection-enhanced diffusion is drastically suppressed by an external transverse bias but strongly reinforced by a longitudinal drive of appropriate intensity. Both effects are magnified by imposing free-slip flows at the array's edges. The dependence of the diffusion constant on an external forcing is interpreted as a measure of the fluid-mechanical robustness of the flow boundary layer mechanism governing diffusion in convection rolls

    Ratcheting by Stochastic Resetting With Fat-Tailed Time Distributions

    Full text link
    We investigated both numerically and analytically the drift of a Brownian particle in a ratchet potential under stochastic resetting with fat-tailed distributions. As a study case we chose a Pareto time distribution with tail index beta. We observed that for 1 =2 < beta < 1 rectification occurs even if for beta < 1 the mean resetting time is infinite. However,for beta <= 1 = 2 rectification is completely suppressed. For low noise levels, the drift speed attains a maximum for beta immediately above 1, that is for finite but large mean resetting times. In correspondence with such an optimal drift the particle diffusion over the ratchet potential turns from normal to super diffusive ,a property also related to the fat tails of the resetting time distributio

    Diffusion of active particles in convective flows

    No full text
    We numerically investigated the diffusion of an active Janus particle in periodic arrays of planar counter-rotating convection rolls at high Peclet numbers. We considered convection patterns with distinct longitudinal and transverse advection properties and characterized the dependence of the relevant diffusion constants on the particle's dynamical parameters, namely, self-propulsion speed, correlation time and chirality. Numerical results are interpreted analytically based on qualitative arguments of classical transport theory. The purpose of the present analysis is controlling active matter transport in microfluidic devices

    Non-Gaussian normal diffusion in low dimensional systems

    Full text link
    Brownian particles suspended in disordered crowded environments often exhibit non-Gaussian normal diffusion (NGND), whereby their displacements grow with mean square proportional to the observation time and non-Gaussian statistics. Their distributions appear to decay almost exponentially according to ``universal{''} laws largely insensitive to the observation time. This effect is generically attributed to slow environmental fluctuations, which perturb the local configuration of the suspension medium. To investigate the microscopic mechanisms responsible for the NGND phenomenon, we study Brownian diffusion in low dimensional systems, like the free diffusion of ellipsoidal and active particles, the diffusion of colloidal particles in fluctuating corrugated channels and Brownian motion in arrays of planar convective rolls. NGND appears to be a transient effect related to the time modulation of the instantaneous particle's diffusivity, which can occur even under equilibrium conditions. Consequently, we propose to generalize the definition of NGND to include transient displacement distributions which vary continuously with the observation time. To this purpose, we provide a heuristic one-parameter function, which fits all time-dependent transient displacement distributions corresponding to the same diffusion constant. Moreover, we reveal the existence of low dimensional systems where the NGND distributions are not leptokurtic (fat exponential tails), as often reported in the literature, but platykurtic (thin sub-Gaussian tails), i.e., with negative excess kurtosis. The actual nature of the NGND transients is related to the specific microscopic dynamics of the diffusing particle

    Colloidal clustering and diffusion in a convection cell array

    No full text
    We numerically investigated the clustering of a uniform suspension of finite-size disks in a linear array of two-dimensional convection cells. We observed that, due to steric interactions, the disks tend to form coherently rotating spatial structures at the center of each cell, as a combined effect of advection and pair collisions. Micellar, ring-like and hexatic patterns emerge in the deterministic regime, depending on the suspension density, but dissolve in the presence of thermal fluctuations. Moreover, pair collisions suffice to activate cell crossings even by noiseless disks and, therefore, cause athermal diffusion. The robustness of such collision induced effects is studied against the opposing action of thermal noise, transverse biases, and particle self-propulsion

    Excess Diffusion of a Driven Colloidal Particle in a Convection Array

    No full text
    We numerically investigate the transport of a passive colloidal particle in a periodic array of planar counter-rotating convection rolls, at high Peclet numbers. It is shown that an external bias, oriented parallel to the array, produces a huge excess diffusion peak, in cases where bias and advection drag become comparable. This effect is not restricted to one-dimensional convection geometries, and occurs independently of the array's boundary conditions
    corecore