VMLFN converts physics-informed neural network training into a linear matrix solve using variational weak forms for efficient parametric multiphysics surrogates.
Advancing gener- alization in pinns through latent-space representations,
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Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
VMLFN converts physics-informed neural network training into a linear matrix solve using variational weak forms for efficient parametric multiphysics surrogates.