18 citations · 34 across the 22 of their papers we have counts for
8 papers · 1 filter
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…
Randomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective
Jean-Michel Tucny, Abhisek Ganguly, Santosh Ansumali +1
Physics-informed neural networks (PINNs) often exhibit weight matrices that appear statistically random after training, yet their implications for signal propagation and stability…
Regularized Fluctuating Lattice Boltzmann Model
Marco Lauricella, Andrea Montessori, Adriano Tiribocchi +1
We introduce a regularized fluctuating lattice Boltzmann model (Reg-FLBM) for the D3Q27 lattice, which incorporates thermal fluctuations through Hermite-based projections to ensure…
Quantum Algorithm for the Fixed-Radius Neighbor Search
Luca Cappelli, Claudio Sanavio, Alessandro Andrea Zecchi +2
Neighbor search is a computationally demanding problem, usually both time- and memory-consuming. The main problem of this kind of algorithms is the long execution time due to cache…
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…
accLB: A High-Performance Lattice Boltzmann Code for Multiphase Turbulence on Multi-Gpu Architectures
Marco Lauricella, Aritra Mukherjee, Luca Brandt +3
In this work, we present accLB, a high-performance Fortran-based lattice Boltzmann (LB) solver tailored to multiphase turbulent flows on multi-GPU architectures. The code couples 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…
Thread-safe multiphase lattice Boltzmann model for droplet and bubble dynamics at high density and viscosity contrasts
Marco Lauricella, Adriano Tiribocchi, Sauro Succi +4
This study presents a high-order, thread-safe version of the lattice Boltzmann (LBM) method, incorporating an interface-capturing equation, based on the conservative Allen-Cahn equ…