https://github.com/Hideousmon/SPLayout

Silicon Photonics Design Tools.
https://github.com/Hideousmon/SPLayout

dbs gdsii gdspy inverse-design layout silicon-photonics

Last synced: about 1 month ago
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Silicon Photonics Design Tools.

• Host: GitHub
• URL: https://github.com/Hideousmon/SPLayout
• Owner: Hideousmon
• License: gpl-3.0
• Created: 2021-05-22T09:11:26.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-21T09:32:46.000Z (7 months ago)
• Last Synced: 2024-05-21T12:57:57.402Z (7 months ago)
• Topics: dbs, gdsii, gdspy, inverse-design, layout, silicon-photonics
• Language: Python
• Homepage: https://splayout.readthedocs.io/en/latest/
• Size: 9.26 MB
• Stars: 44
• Watchers: 2
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: history.md
  • License: LICENSE

Awesome Lists containing this project

• awesome_photonics - code

README

        


# SPLayout

[![GitHub repository](https://img.shields.io/badge/github-SPLayout-blue)](https://github.com/Hideousmon/SPLayout) [![GitHub license](https://img.shields.io/badge/lisence-GNU--3.0-green)](https://github.com/Hideousmon/SPLayout/blob/main/LICENSE) [![Language](https://img.shields.io/badge/make%20with-Python-red)]()

[![GitHub stars](https://img.shields.io/github/stars/Hideousmon/SPLayout.svg?style=social&label=Star&maxAge=8640)](https://GitHub.com/Hideousmon/SPLayout/stargazers/) 

SPLayout (**S**ilicon **P**hotonics **Layout** Design Tools) is a silicon photonics structures design package. It provides commonly used silicon photonics structures for fast integration and pixelated blocks for inverse design. 

The GDSII streaming is based on [gdspy](https://github.com/heitzmann/gdspy) and FDTD simulation is executed on Ansys Lumerical.

## Dependency

* Python 3.6+

* gdspy

* scipy

* numpy

* (Ansys Lumerical for FDTDSimulation and MODESimulation)

## Installation

use pip:

```

pip install splayout

```

or download from the source and build/install with:

```

python setup.py install

```

## Documentation

The documentation can be found [here](https://splayout.readthedocs.io/en/latest/).

## Forward and Inverse Design Examples

### Simulation

A basic simulation example for waveguide transmission can be found [here](https://github.com/Hideousmon/SPLayout/tree/main/examples/simulation/waveguide.py).

![process](__img/waveguide_simulation.png)

### Direct Binary Search

A polarization beam splitter inverse design example can be found [here](https://github.com/Hideousmon/SPLayout/tree/main/examples/inversedesign/PBS_DBS.py). The [Extinction Ratio](__img/PBS_extinction_ratio.png) and [Transmission](__img/PBS_transmission.png) are comparable to the original [paper](https://doi.org/10.1038/nphoton.2015.80).

![process](__img/PBS_process.gif)

## References for Inverse Design Methods

[1] Mirjalili, S., Mirjalili, S.M. & Yang, XS. Binary bat algorithm. Neural Comput &Applic 25, 663–681 (2014). https://doi.org/10.1007/s00521-013-1525-5

[2] Shen, B., Wang, P., Polson, R. et al. An integrated-nanophotonics polarization beamsplitter with 2.4 × 2.4 μm2 footprint. Nature Photon 9, 378–382 (2015). https://doi.org/10.1038/nphoton.2015.80

[3] Christopher M. Lalau-Keraly, Samarth Bhargava, Owen D. Miller, and Eli Yablonovitch. Adjoint shape optimization applied to electromagnetic design. Opt. Express 21, 21693-21701 (2013). https://doi.org/10.1364/OE.21.021693 & https://github.com/chriskeraly/lumopt

### [History (Click Here)](https://github.com/Hideousmon/SPLayout/tree/main/history.md)