A neural network trained with finite-element residual losses and a new stencil convolution can act as a surrogate for 2D linear elasticity problems on unseen block geometries.
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FE-PINNs: finite-element-based physics-informed neural networks for surrogate modeling
A neural network trained with finite-element residual losses and a new stencil convolution can act as a surrogate for 2D linear elasticity problems on unseen block geometries.