125 citations · 1k across the 65 of their papers we have counts for
8 papers · 1 filter
Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6
In microfluidic systems, droplets undergo intricate deformations as they traverse flow-focusing junctions, posing a challenging task for accurate measurement, especially during sho…
Spontaneous motion of a passive fluid droplet in an active microchannel
A. Tiribocchi, M. Durve, M. Lauricella +2
We numerically study the dynamics of a passive fluid droplet confined within a microchannel whose walls are covered with a thin layer of active gel. The latter represents a fluid o…
Modeling realistic multiphase flows using a non-orthogonal multiple-relaxation-time lattice Boltzmann method
Linlin Fei, Jingyu Du, Kai H. Luo +4
In this paper, we develop a three-dimensional multiple-relaxation-time lattice Boltzmann method (MRT-LBM) based on a set of non-orthogonal basis vectors. Compared with the classica…
Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
Jean-Michel Tucny, Mihir Durve, Andrea Montessori +1
The prediction non-equilibrium transport phenomena in disordered media is a difficult problem for conventional numerical methods. An example of a challenging problem is the predict…
Multiscale Hybrid Modeling of Proteins in Solvent: SARS-CoV2 Spike Protein as test case for Lattice Boltzmann -- All Atom Molecular Dynamics Coupling
Marco Lauricella, Letizia Chiodo, Fabio Bonaccorso +6
Physiological solvent flows surround biological structures triggering therein collective motions. Notable examples are virus/host-cell interactions and solvent-mediated allosteric…
Thread-safe lattice Boltzmann for high-performance computing on GPUs
Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +5
We present thread-safe, highly-optimized lattice Boltzmann implementations, specifically aimed at exploiting the high memory bandwidth of GPU-based architectures. At variance with…
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6
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…
Lightweight Lattice Boltzmann
Adriano Tiribocchi, Andrea Montessori, Giorgio Amati +5
A GPU-accelerated version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distrib…