19 citations · 84 across the 13 of their papers we have counts for
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physics.comp-ph2024★ 3 cited
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.comp-ph2022★ 19 cited
Towards learning Lattice Boltzmann collision operators
Alessandro Corbetta, Alessandro Gabbana, Vitaliy Gyrya +3
In this work we explore the possibility of learning from data collision operators for the Lattice Boltzmann Method using a deep learning approach. We compare a hierarchy of designs…