QCL Dataset, 10 Layer Structure, Tolerance [-5, +20] Å, Electric Field [10,10,150] kV/cm

Correa Hernandez, Andres; Gmachl, Claire F.
Issue date: 20 March 2024
Cite as:
Correa Hernandez, Andres & Gmachl, Claire F. (2024). QCL Dataset, 10 Layer Structure, Tolerance [-5, +20] Å, Electric Field [10,10,150] kV/cm [Data set]. Princeton University. Https://doi.org/10.34770/d644-0c85
@electronic{correa_hernandez_andres_2024,
  author      = {Correa Hernandez, Andres and
                Gmachl, Claire F.},
  title       = {{QCL Dataset, 10 Layer Structure, Toleran
                ce [-5, +20] Å, Electric Field [10,10,15
                0] kV/cm}},
  publisher   = {{Princeton University}},
  year        = 2024,
  url         = {Https://doi.org/10.34770/d644-0c85}
}
Abstract:

A dataset of 2400 quantum cascade structures at 15 electric field iterations, for a total of 36000 unique designs. The structures are generated by randomly altering a starting 10-layer design of alternating Al0.48In0.52As barrier material and In0.53Ga0.47As well material, with layer thickness sequence of 9/57/11/54/12/45/25/34/14/33 Angstroms (starting with well material). The random tolerance range is from -5 to +20 Angstroms in 5 Angstrom increments. The laser transition Figure of Merit, among other quantities of interest, is identified for each design using a method found in: A. C. Hernandez, M. Lyu and C. F. Gmachl, "Generating Quantum Cascade Laser Datasets for Applications in Machine Learning," 2022 IEEE Photonics Society Summer Topicals Meeting Series (SUM), 2022, pp. 1-2, doi: 10.1109/SUM53465.2022.9858281

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Authors Correa Hernandez, Andres
Gmachl, Claire F.
Communities Electrical and Computer Engineering
Collection Tags EE Research Data Sets
Date Accessioned 20 March 2024
Issue date 20 March 2024
Date Created 24 July 2023
URI http://arks.princeton.edu/ark:/88435/dsp01bk128f226
URI Https://doi.org/10.34770/d644-0c85
Table of Contents QCL-layer_10-4rep-rand-m5d5p20A-efield_10-10-150-v22-dataset.csv
Referenced by doi: 10.1109/SUM53465.2022.9858281
Language en_US
Publisher Princeton University
Relation https://doi.org/10.34770/bps9-7152
Relation - Is Referenced By doi: 10.1109/SUM53465.2022.9858281
Rights CC-BY 4.0
Type Dataset
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