11 citations · 12 across the 4 of their papers we have counts for
4 papers
Accurate wetting dynamics via a conservative Allen-Cahn based lattice Boltzmann approach for multiphase flows
Paolo Bello, Luca Mander, Marco Lauricella +3
In this work we propose a local geometric wetting boundary condition for a conservative Allen--Cahn-based lattice Boltzmann framework. The prescribed contact angle is imposed throu…
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
Gianmarco Guglielmo, Andrea Montessori, Jean-Michel Tucny +2
Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many pur…
High-order thread-safe lattice Boltzmann model for HPC turbulent flow simulations
Andrea Montessori, Michele La Rocca, Giorgio Amati +3
We present a highly-optimized thread-safe lattice Boltzmann model in which the non-equilibrium part of the distribution function is locally reconstructed via recursivity of Hermite…
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…