Over the last decade, the Lattice Boltzmann method has found major scope for the
simulation of a large spectrum of problems in soft matter, from multiphase and multi …

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a
tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art …

The behavior and dynamics of droplet spreading are pivotal phenomena that exert a
profound influence on numerous scientific disciplines, technological advancements, and …

Deep neural networks are rapidly emerging as data analysis tools, often outperforming the
conventional techniques used in complex microfluidic systems. One fundamental analysis …

Here, we describe the breakup and post-breakup dynamics of a non-Newtonian droplet of
xanthan gum aqueous solution in asymmetric parallel branch microdevices. Our …

The flow of deformable particles, such as droplets, dragged by a fluid, through a network of
narrow pores inside rocks or other porous media is key in a range of applications, from …

Crude oil in underground porous media can be emulsified by surfactants, which can lead to
improved oil recovery. However, there have been limited investigations revealing the …

The oscillations of an initially unperturbed spherical droplet immersed in a homogeneous
and isotropic turbulent background flow are investigated through spherical harmonic …

Over the last decade, the Lattice Boltzmann method has found major scope for the
simulation of a large spectrum of problems in soft matter, from multiphase and multi …

The potential-based multiphase lattice Boltzmann models are widely used because they root
in thermodynamics and evade the interface tracking or integrating. This paper investigates …