19 citations · 84 across the 13 of their papers we have counts for
6 papers · 1 filter
Learning turbulent transport via Mori--Zwanzig graph neural networks
André Freitas, Xander M. de Wit, Alessandro Gabbana +4
We introduce a Mori--Zwanzig graph neural network (MZ--GNN) framework for learning reduced-order Lagrangian dynamics of tracer particles in homogeneous isotropic turbulence. The mo…
Flow-driven hysteresis in the transition boiling regime
Alessandro Gabbana, Xander M. de Wit, Linlin Fei +3
Transition boiling is an intermediate regime occurring between nucleate boiling, where bubbles at the surface efficiently carry heat away, and film boiling, where a layer of vapor…
Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
Xander de Wit, Alessandro Gabbana, Michael Woodward +3
The dynamics of Lagrangian particles in turbulence play a crucial role in mixing, transport, and dispersion in complex flows. Their trajectories exhibit highly non-trivial statisti…
Perfectly Matched Layers and Characteristic Boundaries in Lattice Boltzmann: Accuracy vs Cost
Friedemann Klass, Alessandro Gabbana, Andreas Bartel
Artificial boundary conditions (BCs) play a ubiquitous role in numerical simulations of transport phenomena in several diverse fields, such as fluid dynamics, electromagnetism, aco…
Vielbein Lattice Boltzmann approach for fluid flows on spherical surfaces
Victor E. Ambrus, Elisa Bellantoni, Sergiu Busuioc +2
In this paper, we develop a lattice Boltzmann scheme based on the Vielbein formalism for the study of fluid flows on spherical surfaces. The Vielbein vector field encodes all detai…
Kinetic data-driven approach to turbulence subgrid modeling
Giulio Ortali, Alessandro Gabbana, Nicola Demo +2
Numerical simulations of turbulent flows are well known to pose extreme computational challenges due to the huge number of dynamical degrees of freedom required to correctly descri…