PINN-DG replaces pointwise derivative losses with finite element interpolation plus discontinuous Galerkin consistency and penalty terms, and proves convergence of the discrete minimizers.
Bilayer Plates: Model Reduction, Γ- Convergent Finite Element Approximation, and Discrete Gradient Flow
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PINN-DG: Residual neural network methods trained with Finite Elements
PINN-DG replaces pointwise derivative losses with finite element interpolation plus discontinuous Galerkin consistency and penalty terms, and proves convergence of the discrete minimizers.