ETH Zürich DLSC: Physics-Informed Neural Networks - Limitations and Extensions

[@dholgadom]

Excellent PINN classes with real application examples!!

[@피클모아태산]

Great overview of PINN in 2023

[@uqyge]

great course

[@ezyxas]

Thank you for the great lecture. Question: I understand how periodic boundary conditions can work with discretized PINNs, but how are they supposed to fork with fully connected networks (continuous PINNs that use Autograd)?

[@rito_ghosh]

Wonderful course. Can we please have the slides for each lecture?

[@CAMLabETHZurich]

All the slides are now available on our course webpage: camlab.ethz.ch/teaching/deep-learning-in-scientific-computing-2023.html

[@NiccolòMaffezzoli]

Can the slides be made available for private use ? Thanks

[@CAMLabETHZurich]

All the slides are now available on our course webpage: camlab.ethz.ch/teaching/deep-learning-in-scientific-computing-2023.html

[@afrahnajib1218]

There is only one like which you may not care about? please share more!