Author

H. Lange

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Jul 2026

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

This approach, called GNODE, based on Graph Neural Ordinary Differential Equations, provides temporally more stable, spatially smoother, and overall more accurate results than an autoregressive GNN baseline, and demonstrates an approach that is suitable to model non-linear spatio-temporal systems with exogenous inputs.

H. Lange, R. Thormann, P. Bekemeyer · arXiv.org · 0 citations