An open source tool for simulating EM fields in python using the Eigenmode Expansion Method (EME). Employs neural networks as a means for accelerating the cross sectional field profile generation process.
Clone the repo
git clone git@github.com:BYUCamachoLab/emepy.git
Install the development version of emepy using pip:
pip install -e .
Or collect the most recent publication to pip
pip install emepy
Read the docs here.
Optionally, the user can download and use our neural networks for fundamental TE generation.
The neural network models can be found here. Simply download the three folders (Hy_chunks, Hx_chunks, neff_pickle) and place them under path/to/repo/emepy/models/
This will look like:
.../emepy/emepy/models/Hy_chunks/
.../emepy/emepy/models/Hx_chunks/
.../emepy/emepy/models/neff_pickle/
@article{emepy,
author = {Ian M. Hammond and Alec M. Hammond and Ryan M. Camacho},
journal = {Opt. Lett.},
number = {6},
pages = {1383--1386},
publisher = {OSA},
title = {Deep learning-enhanced, open-source eigenmode expansion},
volume = {47},
month = {Mar},
year = {2022},
doi = {10.1364/OL.443664},
}