Skip to main content

Differentiable plane-wave and guided-mode expansion for photonic crystals

Project description

Build Status Documentation Status Code style: yapf pep8

logo

legume (le GUided Mode Expansion) is a python implementation of the GME method for photonic crystal slabs, including multi-layer structures. Plane-wave expansion for purely 2D structures is also included. Also, we have an autograd backend that allows gradients of all output values with respect to all input parameters to be computed efficiently!

New major release!

With the update to version 1.0.0, we introduced new exciting features including symmetry spearation of photonic modes with respect to a vertical (kz) plane of symmetry, and photon-exciton interaction. These features are fully documented and explained in a new set of examples.

Install

Easiest way:

pip install legume-gme

Alternatively, just git clone this repository, and make sure you have all the requirements installed.

Documentation and examples

Go to our documentation to find a number of examples, as well as a detailed API reference.

The examples can also be found in ipython notebook form in /docs/examples.

Here's an example of a computation of the photonic bands of a photonic crystal, compared to Fig. 2(b) in Chapter 8 of the photonic crystal bible, Molding the Flow of Light.

Quasi-TE bands of a photonic crystal slab

We have only computed the quasi-TE modes of the slab (positive symmetry w.r.t. the plane bisecting the slab), which should be compared to the red lines in the figure on the right. The agreement is very good! And, the guided-mode expansion allows us to also compute the quasi-guided modes above light-line, together with their associated quality factor. These modes are typically hard to filter out in first-principle simulations, so legume is great for studying those.

Autograd

Optimizing the quality factor of a photonic crystal cavity

One exciting feature of legume is the autograd backend that can be used to automatically compute the gradient of the eigenmodes and eigenfrequencies with respect to any input parameters! In the optimization shown above, we tune the positions of the holes of a cavity in order to increase the quality factor. As is common in photonic crystal resonators, small modifications lead to tremendous improvement. The gradient of the quality factor with respect to the positions of all holes is computed in parallel using reverse-modeautomatic differentiation.

Citing

If you find legume useful for your research, we would apprecite you citing our paper. For your convenience, you can use the following BibTex entry:

@article{minkov2020inverse,
  title={Inverse design of photonic crystals through automatic differentiation},
  author={Minkov, Momchil and Williamson, Ian AD and Andreani, Lucio C and Gerace, Dario and Lou, Beicheng and Song, Alex Y and Hughes, Tyler W and Fan, Shanhui},
  journal={ACS Photonics},
  volume={7},
  number={7},
  pages={1729--1741},
  year={2020},
  publisher={American Chemical Society}
}

The paper describing the symmetry separation and polariton theory has been published in CPC. If you find the new features useful, please cite our paper using the following the BibTex entry:

@article{Zanotti2024legume,
title = {Legume: A free implementation of the guided-mode expansion method for photonic crystal slabs},
journal = {Computer Physics Communications},
volume = {304},
pages = {109286},
year = {2024},
issn = {0010-4655},
doi = {https://doi.org/10.1016/j.cpc.2024.109286},
url = {https://www.sciencedirect.com/science/article/pii/S0010465524002091},
author = {Simone Zanotti and Momchil Minkov and Davide Nigro and Dario Gerace and Shanhui Fan and Lucio Claudio Andreani},
}

Acknowledgements

Apart from all the contributors to this repository, all the authors of the paper cited above contributed in various ways with the development of this package. Our logo was made by Nadine Gilmer. The backend switching between numpy and autograd follows the implementation in the fdfd package of Floris Laporte.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

legume_gme-1.0.1-py3-none-any.whl (81.6 kB view details)

Uploaded Python 3

File details

Details for the file legume_gme-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: legume_gme-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 81.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/5.1.0 pkginfo/1.7.1 requests/2.28.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for legume_gme-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 963cc9e19e6a4dfc45ccba383cfd2ca58f61068378cf63b2a1466f5992878b2d
MD5 2c5b65689f76e68d253c14c4feacb7f0
BLAKE2b-256 a9ce0a71685aebd18fdd7616236e6b45494216d8f45f0a005d17e2c788c6394b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page