Raman-Lab-UCLA / Explainability_for_Photonics
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.0c01067
☆21Updated 2 years ago
Alternatives and similar repositories for Explainability_for_Photonics:
Users that are interested in Explainability_for_Photonics are comparing it to the libraries listed below
- Adjoint-based optimization and inverse design of photonic devices.☆12Updated 5 years ago
- GAN-enabled metasuraface design☆57Updated 4 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆24Updated last year
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆43Updated last year
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆89Updated last year
- Simulation and optimization of dielectric metalens with Tidy3D☆26Updated 3 years ago
- 2021 SJTU IPP Project, Metasurface, advised by Prof. Xuyang Lu☆12Updated 2 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆147Updated 2 years ago
- Inverse design of nanophotonic devices using generative adversarial networks☆10Updated 2 years ago
- Automated Metasurface Design by Machine Learning☆13Updated 4 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 3 years ago
- Inverse design of metasurface with non-local interations☆35Updated last year
- Matlab library for nanophotonic inverse design☆19Updated 11 years ago
- Inverse design of metasurface using Generative Adversarial Neural Network☆10Updated 2 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆33Updated last year
- ☆27Updated 3 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆64Updated last year
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆28Updated 3 years ago
- PyTorch implementation of tandem neural networks.☆19Updated 3 years ago
- This is the SUTD PRT dataset for Metasurface Machine Learning☆16Updated last year
- ☆13Updated 5 years ago
- ☆11Updated 2 years ago
- Cyclical Deep Learning Implementation for Simultaneous Inverse and Forward Design of Nanophotonic Metasurfaces☆9Updated 10 months ago
- ☆28Updated 3 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆17Updated last year
- Codes for the project "Computational Design and Fabrication of Metasurfaces".☆17Updated 4 years ago
- Implementation of discrete version of GS-algorithm for metasurface holography☆12Updated 4 years ago
- 3 physical problems + multiple ML architectures benchmarking☆10Updated 2 years ago
- ☆13Updated 3 years ago
- 深度学习加超表面文献☆23Updated 2 years ago