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Physics-informed Neural Networks (PINNs) have been shown to be effective in solving partial differential equations by capturing the physics induced constraints as a part of the training loss function.
The partial differential equation u t + u u x = μ u x x u_{t}+uu_{x}=\mu u_{xx}
Eberhard Hopf · 1950
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