Adebanji Adelowo

MeshGraphNet Vortex

Message-passing depth and long-horizon vortex shedding.

Status: Ongoing research. Results below are from the specified reduced-budget experiment, not the upstream full-budget configuration.

Experimental setup

Nine models: three depths × three seeds, 11,960 gradient steps each on Apple MPS.

Results achieved

Recorded results and study scope
MetricResult
Models trained9
One-step predictionImproved with greater depth in this study
Rollout shedding after step 1000 of 63 assessed rollouts retained shedding

Experimental figures

MeshGraphNet Vortex experimental figure 1
local error vs depth · Full figure ↗
MeshGraphNet Vortex experimental figure 2
local lh onestep vs rollout · Full figure ↗

Figures are drawn directly from the project's public GitHub repository.

Next steps

Investigate autoregressive stability and evaluate a longer training budget.

For reproducibility, consult the repository's configuration files, scripts, saved results and scientific audit.

Repository, methods and results ↗ ← All PhysicsNeMo projects