We adopt convolutional neural networks (CNN) to predict the basic properties of the porous
media. Two different media types are considered: one mimics the sand packings, and the …

We study some geometric aspects that influence the transport properties of particles that
diffuse on curved surfaces. We compare different approaches to surface diffusion based on …

The dispersive spreading of microscopic particles in shear flows is influenced both by
advection and thermal motion. At the nanoscale, interactions between such particles and …

Ionic liquids have many intriguing properties and widespread applications such as
separations and energy storage. However, ionic liquids are complex fluids and predicting …

We study the effect of a fourth-order derivative term in the diffusion of Brownian particles
confined to a narrow 2D channel whose longitudinal coordinate is larger than the …

We study the nontrivial thermodynamic responses of an overdamped Brownian system
driven by an unbiased driving force when the particle is confined inside a bilobal irregular …

We study the motion of an overdamped particle connected to a thermal heat bath in the
presence of an external periodic potential in one dimension. When we coarse-grain, ie, bin …

Run-and-tumble is a basic model of persistent motion and a motility strategy widespread in
micro-organisms and individual cells. In many natural settings, movement occurs in the …

Understanding particle motion in narrow channels can guide progress in numerous
applications, from filtration to vascular transport. Thermal or active fluctuations of fluid-filled …

Brownian motion is a central scientific paradigm. Recently, due to increasing efforts and
interests towards miniaturization and small-scale physics or biology, the effects of …