125 citations · 1.1k across the 75 of their papers we have counts for
9 papers · 1 filter
LBcuda: a high-performance CUDA port of LBsoft for simulation of colloidal systems
Fabio Bonaccorso, Marco Lauricella, Andrea Montessori +5
We present LBcuda, a GPU accelerated version of LBsoft, our open-source MPI-based software for the simulation of multi-component colloidal flows. We describe the design principles,…
High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces
Ying He, Dongheng Zhang, Yan Chen
WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or s…
Tracking droplets in soft granular flows with deep learning techniques
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulati…
Three-level multilevel simulation of the neuroreceptor function of NMDA
Francesco Di Palma, Sauro Succi, Fabio Sterpone +3
We present a new multiscale method to study the N-Methyl-D-Aspartate (NMDA) neuroreceptor starting from the reconstruction of its crystallographic structure. Thanks to the combinat…
Shear dynamics of polydisperse double emulsions
A. Tiribocchi, A. Montessori, F. Bonaccorso +2
We numerically study the dynamics of a polydisperse double emulsion under a symmetric shear flow. We show that both dispersity and shear rate crucially affect the behavior of the i…
A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to cor…
Lattice Boltzmann Multicomponent Model for Direct-Writing Printing
Michele Monteferrante, Andrea Montessori, Sauro Succi +2
We introduce a mesoscale approach for the simulation of multicomponent flows to model the direct-writing printing process, along with the early stage of ink deposition. As an appli…
Microscale modelling of dielectrophoresis assembly processes
Adriano Tiribocchi, Andrea Montessori, Marco Lauricella +3
This work presents a microscale approach for simulating the dielectrophoresis (DEP) assembly of polarizable particles under an external electric field. The model is shown to captur…
Wet to dry self-transitions in dense emulsions: from order to disorder and back
Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +2
One of the most distinctive hallmarks of many-body systems far from equilibrium is the spontaneous emergence of order under conditions where disorder would be plausibly expected. H…