activity
20192026
most citedTracking droplets in soft granular flows with deep learning techniques

12 citations · 18 across the 12 of their papers we have counts for

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Showing physics.flu-dynShow all

6 papers · 1 filter

physics.flu-dyn20261 cited

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…

physics.flu-dyn2025

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…

physics.flu-dyn2024

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…

physics.flu-dyn2024

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…

physics.flu-dyn2023

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…

physics.flu-dyn2023

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…