Proposes a novel intrinsic approach to enforce essential boundary conditions in the deep Ritz method for Poisson problems without penalty tuning.
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
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A Natural Deep Ritz Method for Essential Boundary Value Problems
Proposes a novel intrinsic approach to enforce essential boundary conditions in the deep Ritz method for Poisson problems without penalty tuning.