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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# Filename Description Filesize
1 README.txt 2.63 KB
2 QCL-layer_10-4rep-rand-m5d5p20A-efield_10-10-150-v22-data... 10.1 MB