Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays

Authors: Tucny, Jean-Michel, Lauricella, Marco, Durve, Mihir, Guglielmo, Gianmarco, Montessori, Andrea, Succi, Sauro

Subject Terms: Physics - Computational Physics, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2501.13108

Thread-safe multiphase lattice Boltzmann model for droplet and bubble dynamics at high density and viscosity contrasts

Authors: Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro, Brandt, Luca, Mukherjee, Aritra, La Rocca, Michele, Montessori, Andrea

Subject Terms: Physics - Fluid Dynamics, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2501.00846

Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders

Authors: Durve, Mihir, Tucny, Jean-Michel, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

Subject Terms: Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2407.04863

Droplet shape representation using Fourier series and autoencoders

Authors: Durve, Mihir, Tucny, Jean-Michel, Bhamre, Deepesh, Tiribocchi, Adriano, Lauricella, Marco, Montessori, Andrea, Succi, Sauro

Subject Terms: Physics - Fluid Dynamics, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2403.15797

A high-performance lattice Boltzmann model for multicomponent turbulent jet simulations

Authors: Montessori, Andrea, Hegele Jr., Luiz A., Lauricella, Marco

Subject Terms: Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2403.15773

Keldysh-Lattice Boltzmann approach to quantum nanofluidics

Authors: Succi, Sauro, Montessori, Andrea

Subject Terms: Physics - Computational Physics

Access URL: http://arxiv.org/abs/2403.15768

Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?

Authors: Guglielmo, Gianmarco, Montessori, Andrea, Tucny, Jean-Michel, La Rocca, Michele, Prestininzi, Pietro

Subject Terms: Computer Science - Machine Learning, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2403.08589

High-order thread-safe lattice Boltzmann model for HPC turbulent flow simulations

Authors: Montessori, Andrea, La Rocca, Michele, Amati, Giorgio, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro

Subject Terms: Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2401.17074

Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning

Authors: Durve, Mihir, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Tucny, Jean-Michel, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

Source: Physics of Fluids 36, 022105 (2024)

Subject Terms: Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2310.19374

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Modeling realistic multiphase flows using a non-orthogonal multiple-relaxation-time lattice Boltzmann method

Authors: Fei, Linlin, Du, Jingyu, Luo, Kai H., Succi, Sauro, Lauricella, Marco, Montessori, Andrea, Wang, Qian

Source: Physics of Fluids 31, 042105 (2019)

Subject Terms: Physics - Fluid Dynamics, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2306.16274

Learning of viscosity functions in rarefied gas flows with physics-informed neural networks

Authors: Tucny, Jean-Michel, Durve, Mihir, Montessori, Andrea, Succi, Sauro

Subject Terms: Physics - Fluid Dynamics, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2305.06222

Multiscale Hybrid Modeling of Proteins in Solvent: SARS-CoV2 Spike Protein as test case for Lattice Boltzmann -- All Atom Molecular Dynamics Coupling

Authors: Lauricella, Marco, Chiodo, Letizia, Bonaccorso, Fabio, Durve, Mihir, Montessori, Andrea, Tiribocchi, Adriano, Loppini, Alessandro, Filippi, Simonetta, Succi, Sauro

Source: Communications in Computational Physics, 33 (2023), pp. 57-76

Subject Terms: Physics - Computational Physics, Condensed Matter - Mesoscale and Nanoscale Physics

Access URL: http://arxiv.org/abs/2305.05025

Thread-safe lattice Boltzmann for high-performance computing on GPUs

Authors: Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Durve, Mihir, La Rocca, Michele, Amati, Giorgio, Bonaccorso, Fabio, Succi, Sauro

Subject Terms: Computer Science - Distributed, Parallel, and Cluster Computing, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2304.06437

Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

Authors: Durve, Mihir, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Tucny, Jean-Michel, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2301.08189

Lightweight Lattice Boltzmann

Authors: Tiribocchi, Adriano, Montessori, Andrea, Amati, Giorgio, Bernaschi, Massimo, Bonaccorso, Fabio, Orlandini, Sergio, Succi, Sauro, Lauricella, Marco

Subject Terms: Physics - Fluid Dynamics, Condensed Matter - Soft Condensed Matter, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2301.01622

Shapes and dynamic regimes of a polar active fluid droplet under confinement

Authors: Tiribocchi, Adriano, Durve, Mihir, Lauricella, Marco, Montessori, Andrea, Marenduzzo, Davide, Succi, Sauro

Subject Terms: Condensed Matter - Soft Condensed Matter, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2208.08163

Machine learning assisted droplet trajectories extraction in dense emulsions and their analysis

Authors: Durve, Mihir, Tiribocchi, Adriano, Montessori, Andrea, Lauricella, Marco, Succi, Sauro

Subject Terms: Physics - Fluid Dynamics, Condensed Matter - Soft Condensed Matter

Access URL: http://arxiv.org/abs/2206.03681

Collective Behavior of Crowded Drops in Microfluidic Systems

Authors: Gai, Ya, Montessori, Andrea, Succi, Sauro, Tang, Sindy K. Y.

Subject Terms: Condensed Matter - Soft Condensed Matter, Physics - Fluid Dynamics

Access URL: http://arxiv.org/abs/2206.00722

DropTrack -- automatic droplet tracking using deep learning for microfluidic applications

Authors: Durve, Mihir, Tiribocchi, Adriano, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Bogdan, Michal, Guzowski, Jan, Succi, Sauro

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2205.02568