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isds-neu / PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
MIT License
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model input isssues; #13

Open jungangc opened 1 year ago

jungangc commented 1 year ago

Thanks for sharing the code. Your current model input is the initial condition and hidden states for the ConvLSTM, From a perspective of generalization, have you considered feeding a batch of initial conditions, instead of a single one to train the model? Would that increase the performance? Also, does a single initial condition in PICRNN equal to a single collocation point in PINN? Not sure how to justify that.

Thanks again for your work.