Adding a standard-deviation term to the mean loss in physics-informed neural networks reduces peak errors on Poisson, Burgers, elasticity, and Navier-Stokes benchmarks.
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Improved Physics-informed neural networks loss function regularization with a variance-based term
Adding a standard-deviation term to the mean loss in physics-informed neural networks reduces peak errors on Poisson, Burgers, elasticity, and Navier-Stokes benchmarks.