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 …

We introduce a data-driven learning framework that assimilates two powerful ideas: ideal
large eddy simulation (LES) from turbulence closure modeling and neural stochastic …

Complex disordered matter is of central importance to a wide range of disciplines, from
bacterial colonies and embryonic tissues in biology to foams and granular media in …

In microfluidic systems, droplets undergo intricate deformations as they traverse flow-
focusing junctions, posing a challenging task for accurate measurement, especially during …

We present a potent computational method for the solution of inverse problems in fluid
mechanics. We consider inverse problems formulated in terms of a deterministic loss …

In this study, we analyze the various arrangements that droplets can form within dispersed
buoyant emulsions, which we refer to as the study of microstructure. To this end, we have …

The transition towards a sustainable energy landscape necessitates efficient and scalable
technologies for renewable energy storage. Water electrolysis, a process that converts …

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 …

In the last decades, three-dimensional numerical modelling of fluid flows, the so-called
computational fluid dynamics (CFD), has evolved from a primarily scientific topic to a widely …

Anthropogenic plastic waste heavily pollutes global water systems. In particular, micron-
sized plastic debris can have severe repercussions for the ocean flora and fauna …