Stathi Fotiadis on Muck Rack

Stathi Fotiadis

As seen in: AIP Publishing
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Articles

Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics

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By Mário Lino, Stathi Fotiadis, Anil Bharath, Chris Cantwell
| AIP Publishing
A. Simulating advection with MuS-GNN In order to assess the performance of MuS-GNNs in time-integrating the advection equation (27), four MuS-GNNs were considered: • 1S-GNN (one-scale GNN) with L = 1 and M1=4; • 2S-GNN (two-scale GNN) with L = 2, M1=M2=4, and dx2=dy2=0.02; • 3S-GNN (three-scale GNN) with L = 3, M1=M2=M3=4,dx2=dy2=0.02, and dx3=dy3=0.04; • 4S-GNN (four-scale GNN) with L = 4, M1=M2=M3=M4=4,dx2=dy2=0.02,dx3=dy3=0.04, and dx4=dy4=0.08.
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