Turbulent flows laden with large, deformable drops are ubiquitous in nature and in a wide
range of industrial processes. Prediction of the interactions between drops, which deform …

Abstract Computational Fluid Dynamics (CFD), blending disciplines like fluid mechanics and
computer science, plays a pivotal role in various engineering and scientific endeavors …

Improving our fundamental understanding of multiphase turbulent flows will be beneficial for
analyses of a wide range of industrial and geophysical processes. Herein, we investigate …

Droplet microfluidics, in which microdroplets serve as individual reactors, has enabled a
wide range of high-throughput biochemical processes. Unlike solid wells typically used in …

We present Korali, an open-source framework for large-scale Bayesian uncertainty
quantification and stochastic optimization. The framework relies on non-intrusive sampling of …

Biomedical applications such as targeted drug delivery, microsurgery or sensing rely on
reaching precise areas within the body in a minimally invasive way. Artificial bacterial …

We develop a robust volume-conservative framework for tracking blob evolution in complex
two-phase flow that accurately and uniquely obtains the volume transfer among …

In this perspective we take stock of the current state of the art of computational models for
droplets microfluidics and we suggest some strategies which may open the way to the full …

In this article we focus on kinetic equations for gas mixtures since in applications one often
has to deal with mixtures instead of a single gas. In particular, we consider an approximation …

In the last decades kinetic theory has developed into a very elegant and effective framework
to handle a broad spectrum of problems involving complex states of flowing matter, far …