Global optimization based on generative neural networks
☆124Nov 17, 2022Updated 3 years ago
Alternatives and similar repositories for GLOnet
Users that are interested in GLOnet are comparing it to the libraries listed below
Sorting:
- ☆65Mar 15, 2022Updated 3 years ago
- ☆40Feb 25, 2021Updated 5 years ago
- Photonic optimization library☆333Apr 13, 2024Updated last year
- 3 physical problems + multiple ML architectures benchmarking☆16Sep 19, 2022Updated 3 years ago
- ☆17Feb 10, 2023Updated 3 years ago
- GAN-enabled metasuraface design☆68Jan 14, 2021Updated 5 years ago
- Python based continuous adjoint optimization wrapper for Lumerical☆198Mar 20, 2024Updated last year
- ☆12Jun 25, 2024Updated last year
- Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices☆183Dec 14, 2019Updated 6 years ago
- RCWA with inherent automatic differentiation using TensorFlow☆51Jun 24, 2021Updated 4 years ago
- Multi-GPU FDFD solver☆66May 19, 2022Updated 3 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆206Jun 3, 2022Updated 3 years ago
- Design, optimize, & simulate metasurface lenses (aka diffractive lenses), beam deflectors, gratings etc☆168Jan 18, 2024Updated 2 years ago
- A hybrid data- and physics-augmented CNN that predicts EM field distributions with ultrafast speed and high accuracy for entire classes o…☆22Nov 11, 2022Updated 3 years ago
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆84Feb 7, 2024Updated 2 years ago
- GPU-accelerated RCWA with automatic differentiation☆171Jun 15, 2024Updated last year
- Python implementation of rigorous coupled wave analysis, autograd supported for optimization purpose☆94Mar 5, 2021Updated 4 years ago
- ☆15Apr 30, 2025Updated 10 months ago
- Objective-first approach to nanophotonic design, implemented in Matlab☆34Jul 3, 2018Updated 7 years ago
- Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Refe…☆22May 7, 2022Updated 3 years ago
- 📐 Workshop material for optical inverse design and automatic differentiation☆119Mar 20, 2020Updated 5 years ago
- ☆12Apr 17, 2020Updated 5 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆89Apr 11, 2023Updated 2 years ago
- Optical Prediction Neural Network -- Emulating Optical Simulations with a Neural Network☆13Jan 18, 2023Updated 3 years ago
- ☆46May 17, 2019Updated 6 years ago
- Neural operator surrogates for electromagnetic inverse design☆49Feb 28, 2024Updated 2 years ago
- personal set of FDFD codes used for my research. Much of this has been inspired by Yu (Jerry) Shi and Wonseok Shin☆21May 24, 2019Updated 6 years ago
- Adjoint-solver module for MEEP.☆11Dec 7, 2019Updated 6 years ago
- COMSOL implementation of the mesoscopic boundary conditions for nanoscale electromagnetism☆33Apr 7, 2020Updated 5 years ago
- Jaxwell is JAX + Maxwell☆48Sep 27, 2023Updated 2 years ago
- MATLAB-based solver package of Maxwell's equations by the FDFD method☆120Apr 16, 2025Updated 10 months ago
- A suite of photonic inverse design challenge problems for topology optimization benchmarking☆119Jan 20, 2024Updated 2 years ago
- An nanophotonics solver for inverse design of metamaterials☆14Sep 23, 2023Updated 2 years ago
- 🌱 Guided-mode expansion of photonic crystal slabs☆141Feb 3, 2025Updated last year
- Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks☆84Dec 7, 2022Updated 3 years ago
- Fourier Modal Method for multilayer metamaterials. Mirror of https://gitlab.com/nannos/nannos☆20Sep 5, 2024Updated last year
- Rigorous coupled wave analysis and PWEM implemented in short readable python codes☆41Mar 15, 2021Updated 4 years ago
- Electromagnetic Simulation + Automatic Differentiation☆402Jul 6, 2023Updated 2 years ago
- ☆14Dec 26, 2021Updated 4 years ago