Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
☆84Dec 7, 2022Updated 3 years ago
Alternatives and similar repositories for ScatterNet
Users that are interested in ScatterNet are comparing it to the libraries listed below
Sorting:
- ☆47May 17, 2019Updated 6 years ago
- Neural Networks for Optical Inverse Design☆22Sep 25, 2017Updated 8 years ago
- ☆34Mar 29, 2021Updated 4 years ago
- Objective-first approach to nanophotonic design, implemented in Matlab☆34Jul 3, 2018Updated 7 years ago
- Continuous Adjoint Optimization with Lumerical, developed at UC Berkeley☆90Sep 22, 2018Updated 7 years ago
- PhD research project on applying Deep Learning method to perform microstructural inverse design.☆11Mar 7, 2022Updated 4 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆20Dec 15, 2021Updated 4 years ago
- Python based continuous adjoint optimization wrapper for Lumerical☆199Mar 20, 2024Updated 2 years ago
- Matlab library for nanophotonic inverse design☆22Aug 19, 2013Updated 12 years ago
- Inverse design of nanophotonic devices using generative adversarial networks☆11Mar 6, 2026Updated 2 weeks ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆90Apr 11, 2023Updated 2 years ago
- Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices☆186Dec 14, 2019Updated 6 years ago
- Adjoint-based optimization and inverse design of photonic devices.☆14Aug 22, 2019Updated 6 years ago
- A suite of photonic inverse design challenge problems for topology optimization benchmarking☆119Jan 20, 2024Updated 2 years ago
- ☆14Dec 13, 2018Updated 7 years ago
- Photonic optimization library☆334Apr 13, 2024Updated last year
- Neural Inverse Design of Nanostructures☆48Oct 31, 2023Updated 2 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆211Jun 3, 2022Updated 3 years ago
- All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…☆11Oct 26, 2021Updated 4 years ago
- Global optimization based on generative neural networks☆125Nov 17, 2022Updated 3 years ago
- ☆40Feb 25, 2021Updated 5 years ago
- PyTorch implementation of tandem neural networks.☆23May 18, 2021Updated 4 years ago
- A simulation framework for unitary neural networks and photonic devices☆124Apr 21, 2021Updated 4 years ago
- Multilayer perceptron has been implemented using PyTorch framework to compute various optical properties of a photonic crystal fiber (PCF…☆22Sep 28, 2019Updated 6 years ago
- A Python (v3.6.5) package that provides a set of basic functions commonly used in integrated photonics.☆32Jan 16, 2025Updated last year
- finite difference based eigensolving for Maxwell's equations and photonic structures☆14Oct 28, 2021Updated 4 years ago
- Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design☆36Jun 21, 2022Updated 3 years ago
- Silicon Photonics Design Tools.☆65Sep 6, 2025Updated 6 months ago
- Prediction of fabrication variations in integrated photonic devices using deep learning☆30Mar 2, 2023Updated 3 years ago
- Inverse design of metasurface using Generative Adversarial Neural Network☆10Sep 8, 2022Updated 3 years ago
- Flexible simulation package for optical neural networks☆267Apr 22, 2020Updated 5 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆27Dec 20, 2023Updated 2 years ago
- 📐 Workshop material for optical inverse design and automatic differentiation☆120Mar 20, 2020Updated 6 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
- ☆17Feb 10, 2023Updated 3 years ago
- Use FDTD Solution of Lumericial to simulate the Topological Valley photon☆38Jan 10, 2021Updated 5 years ago
- COMSOL implementation of the mesoscopic boundary conditions for nanoscale electromagnetism☆33Apr 7, 2020Updated 5 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
- Using Neural networks to compute topological invariants in insulators☆17Oct 12, 2020Updated 5 years ago