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Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Home Page: https://maziarraissi.github.io/DeepHPMs/

License: MIT License

Python 98.51% MATLAB 1.49%

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deephpms's Issues

Workflow of the code

Hey there, I read the paper and it fascinated me a lot. Thank you so much for providing the code base for the paper. Will be able to provide a proper workflow of the code, that is, which all files should we run in which order in order to replicate the implementation of the code base.

Congfiguration

Thanks for sharing this work which is very impressing!
But it seems that the .yml file in the package doesn't include any configuration information. So we don't know the code is written in which version and which pakages are necessary to run the code.

What is the learning rate and how many iterations for train

Hi, I noticed that N_iter = 0 for training in code. What is real number of N_iter?

Train the identifier

model.idn_u_train(N_iter=0)
model.idn_f_train(N_iter=0)

What is more, there is no learning rate set for adam optimizer. Is that mean lr is 0.001 which is default?

optimizer

self.sol_optimizer_Adam = tf.train.AdamOptimizer()

Thank you for your reply!

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