Stars
Fast calculation of spectra and CIE colors of multi-layer membrane structures with the help of TMM (Transfer Matrix Method)
Design code of 1D free-from deflector metasurface
Data and code for our paper "Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning".
A pioneering project leveraging Reinforcement Learning for inverse material design, enhanced with Large Language Models for efficient process filtering.
Implementation related to the Deep Complex Networks
tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. Developed by Alexander Luce (@Nerrror) in cooperation with Heribert Wankerl (@HarryTheBird).
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
A fast simulation program based on python and ansys-lumerical-FDTD for optical simulation, allowing users to quickly model, run and read simulation results for analysis
Deep Learning for metasurface parameter optimization using tensorflow/keras
Optimization and inverse design of photonic crystals using deep reinforcement learning
Repository for most of the code from my YouTube channel
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…
cyyeung1234 / Multiclass_Metasurface_InverseDesign
Forked from Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesignHere, 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…
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…
This is the relevant code for the Assymetric CycleGAN.
The code for the work presented in the research paper titled "***"