lovezsy's Stars
flaport/inverse_design
chriskeraly/lumopt
Python based continuous adjoint optimization wrapper for Lumerical
ZooBeasts/cWGAN-GP_Inverse_Design_Disordered_Waveguide_Nanophotonics
This code is for of inverse design and forward prediction of disordered waveguide. Full codes updated
nyammar/MEMS-Inverse-Design
This project is a demonstration of Inverse Design for MEMS structure. It starts with a duplication of the Genetic Algorithm code provided by Rui Amendoeira Esteves in the Masters thesis advised by Michael Kraft, Full Professor, KU Leuven. Subsequently, we aim to utilize a similar algorithm on an optical scanner. Furthermore, a third goal is attempt a topology optimization algorithm for the inverse design of MEMS.
Joeri38/inverse-design
Inverse design of a Fabry-Pérot resonator and Bragg reflector
WRL-TOP666G/Inverse-Design-of-a-Tunable-Silicon-Photonic-Device-using-Machine-Learning
dmitrykouznetsov/InvDes-Optical-Lattice
Inverse Design of PIC devices for generating coherent optical lattice in a 2D slab region.
JR-Wesley/Deep-Neural-Network-Inverse-Design-of-Integrated-Photonic-Power-Splitters
twhughes/PhD_Thesis
Adjoint-based optimization and inverse design of photonic devices.
TheAlgorithms/Python
All Algorithms implemented in Python
hkust-ye/rktan-networkInverseDesign
DianjingLiu/inverse_design
Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign
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/10.1002/adom.202100548
google/ceviche-challenges
A suite of photonic inverse design challenge problems for topology optimization benchmarking
mustafacc/SiEPIC_Photonics_Package
A Python (v3.6.5) package that provides a set of basic functions commonly used in integrated photonics.
PRGatech/DimensionalityReduction
iguanaus/ScatterNet
Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
FiodarM/InvDesignNet
Training neural networks for inverse design of nanophotonic gratings.