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1. Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign Public

   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/10.10…

   Python 140 33

2. Raman-Lab-UCLA/Explainability_for_Photonics Raman-Lab-UCLA/Explainability_for_Photonics Public

   Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Reference: https://pubs.acs.org/doi/full/10.1021/acsphotonics.0c…

   Python 21 1