@inproceedings{9eac7543a8de49129c5fae920e6169e8,
title = "Generating Quantum Cascade Laser Datasets for Applications in Machine Learning",
abstract = "For the goal of training machine learning algorithms to predict quantum cascade laser designs with high optical gain, a model dataset containing 2600 designs was collected, filtered, and prepared using a representative 8.2 μm laser.",
keywords = "Machine Learning, Quantum Cascade Laser",
author = "Hernandez, {Andres Correa} and Ming Lyu and Gmachl, {Claire F.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2022 ; Conference date: 11-07-2022 Through 13-07-2022",
year = "2022",
doi = "10.1109/SUM53465.2022.9858281",
language = "English (US)",
series = "2022 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2022 - Proceedings",
address = "United States",
}