Feature/Multi-fidelity PINNs #144
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I think this is ready for review! Please let me know what y'all think, especially regarding the changes in the trainer (I'm open to create one in PyTorchLightning as well). |
updating README with new notebooks
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lets make this PR to develop branch first before we integrate it into master. |
drgona
approved these changes
Jun 12, 2024
I like your idea of merging it to develop instead of master, Jan. We can definitely do that. |
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Implementation of multi-fidelity PINNs via stacking, as proposed in Howard et al., 2023.
Modifications are based on the creation of a
MultiFidelityMLPclass that inherits fromBlock, as well as modifications to the loss that require the creation of a custom loss for these types of networks (MultiFidelityLoss).p.s.: this is still a draft. It will have companion tutorials, unit test updates and TLC on the docstrings.