1 citations · 1 across the 3 of their papers we have counts for
7 papers
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…
The multi-fractal nature of pedestrian arrival times
Caspar A. S. Pouw, Alessandro Corbetta, Alessandro Gabbana +1
Pedestrian arrival times exhibit complex temporal organization across multiple scales, shaped by working hours, transportation schedules, and collective behaviors - features often…
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…
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…
Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics
Ziqi Wang, Alessandro Gabbana, Federico Toschi
Pedestrian routing choices play a crucial role in shaping collective crowd dynamics, yet the influence of interactions among unfamiliar individuals remains poorly understood. In th…
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…