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Uncovering solutions from data corrupted by systematic errors: A
  physics-constrained convolutional neural network approach

Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach

7 June 2023
Daniel Kelshaw
Luca Magri
    PINN
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Papers citing "Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach"

1 / 1 papers shown
Title
Physics-constrained convolutional neural networks for inverse problems
  in spatiotemporal partial differential equations
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
Daniel Kelshaw
Luca Magri
11
1
0
18 Jan 2024
1