59 citations · 213 across the 24 of their papers we have counts for
25 papers
Spontaneous epicuticular charging affects droplet dynamics on living leaves
Mihir Durve, Serena Armiento, Benham Kamare +3
How water droplets move and slide on leaves influences plant ecophysiological and abiotic interactions, as well as the design of advanced bio-inspired wetting materials. Despite cr…
Representation of Typical Droplet Shapes in 2D Latent Space
Mihir Durve, Jean-Michel Tucny Andrea Montessori, Marco Lauricella +1
In this study, we investigate the clustering of 5000 droplets, each originating from one of five distinct droplet classes, each representing a unique geometry. The shape coordinate…
Win Probabilities, Hand Sizes, and Game Duration Analysis in the Bhikar-Sawkar Card Game
Mihir Durve
We present a Monte Carlo simulation study of the Bhikar-Sawkar card game, a non-deterministic game structurally similar to the classic Beggar-My-Neighbour, which is fully determini…
Is the end of Insight in Sight ?
Jean-Michel Tucny, Mihir Durve, Sauro Succi
The rise of deep learning challenges the longstanding scientific ideal of insight - the human capacity to understand phenomena by uncovering underlying mechanisms. In many modern a…
Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays
Jean-Michel Tucny, Marco Lauricella, Mihir Durve +3
Accurate prediction of rarefied gas dynamics is crucial for optimizing flows through microelectromechanical systems, air filtration devices, and shale gas extraction. Traditional m…
Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders
Mihir Durve, Jean-Michel Tucny, Sibilla Orsini +6
We introduce a two-step, fully reversible process designed to project the outer shape of a generic droplet onto a lower-dimensional space. The initial step involves representing th…
Lattice Boltzmann simulations for soft flowing matter
A. Tiribocchi, M. Durve, M. Lauricella +3
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-component micr…
Droplet shape representation using Fourier series and autoencoders
Mihir Durve, Jean-Michel Tucny, Deepesh Bhamre +4
The shape of liquid droplets in air plays an important role in aerodynamic behavior and combustion dynamics of miniaturized propulsion systems such as microsatellites and small dro…
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…
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…
Crystallization and topology-induced dynamical heterogeneities in soft granular clusters
Michal Bogdan, Jesus Pineda, Mihir Durve +4
Soft-granular media, such as dense emulsions, foams or tissues, exhibit either fluid- or solid-like properties depending on the applied external stresses. Whereas bulk rheology of…
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…
Shapes and dynamic regimes of a polar active fluid droplet under confinement
Adriano Tiribocchi, Mihir Durve, Marco Lauricella +3
Active droplets are artificial microswimmers built from a liquid dispersion by microfluidic tools and showing self-propelled motion. These systems hold particular interest for mimi…
Machine learning assisted droplet trajectories extraction in dense emulsions and their analysis
Mihir Durve, Adriano Tiribocchi, Andrea Montessori +2
This work analyzes trajectories obtained by YOLO and DeepSORT algorithms of dense emulsion systems simulated by Lattice Boltzmann methods. The results indicate that the individual…
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications
Mihir Durve, Adriano Tiribocchi, Fabio Bonaccorso +5
Deep neural networks are rapidly emerging as data analysis tools, often outperforming the conventional techniques used in complex microfluidic systems. One fundamental analysis fre…
The crucial role of adhesion in the transmigration of active droplets through interstitial orifices
A. Tiribocchi, M. Durve, M. Lauricella +3
Active fluid droplets are a class of soft materials exhibiting autonomous motion sustained by an energy supply. Such systems have been shown to capture motility regimes typical of…
Dynamics of polydisperse multiple emulsions in microfluidic channels
A. Tiribocchi, A. Montessori, M. Durve +3
Multiple emulsions are a class of soft fluid in which small drops are immersed within a larger one and stabilized over long periods of time by a surfactant. We recently showed that…
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…
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…
Collective olfactory search in a turbulent environment
Mihir Durve, Lorenzo Piro, Massimo Cencini +2
Finding the distant source of an odor dispersed by a turbulent flow is a vital task for many organisms, either for foraging or for mating purposes. At the level of individual searc…
Learning to flock through reinforcement
Mihir Durve, Fernando Peruani, Antonio Celani
Flocks of birds, schools of fish, insects swarms are examples of coordinated motion of a group that arises spontaneously from the action of many individuals. Here, we study flockin…