QCL Dataset, 10 Layer Structure, Tolerance [-2, +3] A, Electric Field [0,10,150] kV/cm

Hernandez, Andres Correa; Gmachl, Claire F.
Issue date: December 2023
Cite as:
Hernandez, Andres Correa & Gmachl, Claire F. (2023). QCL Dataset, 10 Layer Structure, Tolerance [-2, +3] A, Electric Field [0,10,150] kV/cm [Data set]. Princeton University. https://doi.org/10.34770/r7nr-ee50
  author      = {Hernandez, Andres Correa and
                Gmachl, Claire F.},
  title       = {{QCL Dataset, 10 Layer Structure, Toleran
                ce [-2, +3] A, Electric Field [0,10,150]
  publisher   = {{Princeton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/r7nr-ee50}

This dataset contains 1800 quantum cascade (QC) structures generated by randomly modifying an initial 10-layer design in the tolerance range of -2 to +3 Angstroms at an applied electric field range of 0 to 150 kV/cm (in 10 kV/cm increments). One structure at one electric field is one design, thus there are 27000 unique designs, represented as a row in the dataset. The layer thicknesses (in angstroms) and the electric field are inputs which get evaluated using a Schrödinger solver, ErwinJr2, to identify the laser transition Figure of Merit (fom*), among other reported outputs.

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The method for building QC datasets and identifying the laser transition for a design is referenced in [1] 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 2.77 KB
2 QCL-layer_10-4rep-rand-m2A_3A-efield_0-10-150-v22-dataset... 7.56 MB