Scale-consistency training, which enforces agreement between global and rescaled sub-domain predictions, enables neural PDE solvers to extrapolate to unseen scale parameters such as Reynolds number or wavenumber.
Learning operators with coupled attention.Journal of Machine Learning Research, 23(215):1–63, 2022
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Scale-Consistent Learning for Partial Differential Equations
Scale-consistency training, which enforces agreement between global and rescaled sub-domain predictions, enables neural PDE solvers to extrapolate to unseen scale parameters such as Reynolds number or wavenumber.