3 papers
physics.comp-ph2024
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo +1
We present a new class of equivariant neural networks, hereby dubbed Lattice-Equivariant Neural Networks (LENNs), designed to satisfy local symmetries of a lattice structure. Our a…
physics.flu-dyn2024
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…
physics.flu-dyn2024
Extreme statistics and extreme events in dynamical models of turbulence
Xander M. de Wit, Giulio Ortali, Alessandro Corbetta +3
We present a study of the intermittent properties of a shell model of turbulence with unprecedented statistics, about eddy turn over time, achieved thanks to an impleme…