activity
19932023
most citedGeneralized Lattice Boltzmann Method with multi-range pseudo-potential

492 citations · 6.6k across the 217 of their papers we have counts for

collaborators

215 papers

physics.flu-dyn2023★ 10 cited

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…

cond-mat.soft2023

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…

physics.comp-ph2023

Quantum computing for fluids: where do we stand?

Sauro Succi, Wael Itani, Katepalli Sreenivasan +1

We present a pedagogical introduction to the current state of quantum computing algorithms for the simulation of classical fluids. Different strategies, along with their potential…

physics.flu-dyn2023★ 125 cited

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…

physics.flu-dyn2023★ 148 cited

Extreme flow simulations reveal skeletal adaptations of deep-sea sponges

Giacomo Falcucci, Giorgio Amati, Pierluigi Fanelli +4

Since its discovery, the deep-sea glass sponge Euplectella aspergillum has attracted interest in its mechanical properties and beauty. Its skeletal system is composed of amorphous…

physics.flu-dyn2023★ 8 cited

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…