Goals¶
Choose either hybrid/neural ODE modeling or DeepONet. Define the held-out domain before training. Test longer rollouts or unseen input functions as appropriate. A simple baseline is mandatory.
Note¶
DeepONet is operator learning (function→function), a different SciML branch from collocation PINNs.
Materials¶
Binder / Colab badges will appear with the executable notebook. Until then use Running notebooks (local install is canonical). Contributions welcome: Join and contribute.
Status¶
Stub — no executable notebook yet.