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20182026
most citedData-driven physics-based modeling of pedestrian dynamics

8 citations · 17 across the 6 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…