Search Results for author: Timothy Andeen

Found 1 papers, 1 papers with code

Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks

1 code implementation26 Oct 2021 Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy

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.

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