Multiclass_Metasurface_InverseDesign
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Raman-Lab-UCLA
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/...
when the train is over,I cant't see the MP4 (in the save_dir) and the Loss graph of D and G 
Hello, many thanks for putting these information about the model. I have problem while running the DCGAN_Train.py file. When the training loop starts after second batch ,the values of Discriminator...
hello！ have you considered Non-uniqueness Problem for Gan ？ that means "This implies that different superstrate structures may have the same electromagnetic parameters“. thanks @phamb584 @cyyeung1234
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Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/...