Flexible simulation package for optical neural networks

• UpdatedApr 22, 2020
• Python

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

• UpdatedJun 3, 2022
• Python

Simulations of photonic quantum programmable gate arrays

• UpdatedOct 10, 2020
• Jupyter Notebook

Optimization and inverse design of photonic crystals using deep reinforcement learning

• UpdatedApr 11, 2023
• Python

2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

• UpdatedMay 9, 2024
• MATLAB

Rigorous Coupled-Wave Analysis (RCWA) for nanophotonics simulations

• UpdatedMar 17, 2025
• Julia

3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

• UpdatedJul 11, 2024
• Julia

Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics

• UpdatedJan 1, 2021
• Jupyter Notebook

Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design

• UpdatedJun 21, 2022
• Jupyter Notebook

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

• UpdatedMay 7, 2022
• Python

Arrayed Waveguide Grating (AWG) model and simulation in Matlab

• UpdatedJun 29, 2021
• MATLAB

Free and open-source code package designed to perform PyMEEP FDTD simulations applied to Plasmonics (UBA+CONICET) [Buenos Aires, Argentina]

• UpdatedJan 19, 2022
• Python

An nanophotonics solver for inverse design of metamaterials

• UpdatedSep 23, 2023
• Julia

Modeling and designing Photonic Crystal Nanocavities via Deep Learning

• UpdatedApr 7, 2022
• Python

Julia implementation of Mie theory for nanophotonics

• UpdatedApr 30, 2021
• Julia

Adjoint-based optimization and inverse design of photonic devices.

• UpdatedAug 22, 2019
• TeX

Computational Photonics in Python with the finite element method. Mirror ofhttps://gitlab.com/gyptis/gyptis

• UpdatedMar 4, 2025
• Python

The code for the work presented in the research paper titled "***"

• UpdatedMar 10, 2024
• Python

Computes the optical properties (transmission, absorption, reflexion) of a multilayer system (dielectric or metallic layers), and the resulting 3D temperature distribution due to absorption.https://aip.scitation.org/doi/10.1063/5.0057185

• UpdatedMay 12, 2022
• Mathematica

The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"

• UpdatedMay 16, 2024
• Python