A neural network predicts finite element model errors and upscales coarse elastic plate solutions, but the claimed benefit of the physics losses is undermined because the displacement loss duplicates the main error loss.
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Physics-informed neural networks (PINNs) for numerical model error approximation and superresolution
A neural network predicts finite element model errors and upscales coarse elastic plate solutions, but the claimed benefit of the physics losses is undermined because the displacement loss duplicates the main error loss.