jonfanlab / GLOnet
Global optimization based on generative neural networks
β101Updated 2 years ago
Related projects β
Alternatives and complementary repositories for GLOnet
- π Workshop material for optical inverse design and automatic differentiationβ97Updated 4 years ago
- Multi-GPU FDFD solverβ56Updated 2 years ago
- Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networksβ79Updated last year
- Continuous Adjoint Optimization with Lumerical, developed at UC Berkeleyβ77Updated 6 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learningβ60Updated last year
- GAN-enabled metasuraface designβ54Updated 3 years ago
- Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devicesβ157Updated 4 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasuβ¦β134Updated 2 years ago
- Python implementation of rigorous coupled wave analysis, autograd supported for optimization purposeβ65Updated 3 years ago
- β52Updated 2 years ago
- modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method,β¦β122Updated 2 years ago
- Python based continuous adjoint optimization wrapper for Lumericalβ161Updated 8 months ago
- β43Updated 5 years ago
- RCWA with inherent automatic differentiation using TensorFlowβ42Updated 3 years ago
- GPU-accelerated RCWA with automatic differentiationβ103Updated 5 months ago
- Gentle introduction and demo of the adjoint variable method for electromagnetic inverse designβ28Updated 2 years ago
- Rigorous coupled wave analysis and PWEM implemented in short readable python codesβ34Updated 3 years ago
- A suite of tools for optimizing the shape and topology of electromagnetic structures.β100Updated 8 months ago
- Simulation and optimization of dielectric metalens with Tidy3Dβ25Updated 3 years ago
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasuβ¦β76Updated 9 months ago
- Adjoint-based optimization and inverse design of photonic devices.β11Updated 5 years ago
- Matlab library for nanophotonic inverse designβ19Updated 11 years ago
- Generates metasurface GDSII layouts for a given phase mask and FDTD dimension vs phase dataβ58Updated 3 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/kerasβ79Updated last year
- Objective-first approach to nanophotonic design, implemented in Matlabβ32Updated 6 years ago
- β27Updated 3 years ago
- Silicon Photonics Design Tools.β49Updated 2 weeks ago
- Neural Inverse Design of Nanostructuresβ38Updated last year
- Electromagnetic simulation (RCWA) & optimization package in Pythonβ69Updated 2 months ago