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

Hernandez, Andres Correa; Gmachl, Claire; Lyu, Ming
Issue date: 2023
Rights:
 Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Hernandez, Andres Correa, Gmachl, Claire, & Lyu, Ming. (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
@electronic{hernandez_andres_correa_2023,
  author      = {Hernandez, Andres Correa and
                Gmachl, Claire and
                Lyu, Ming},
  title       = {{QCL Dataset, 10 Layer Structure, Toleran
                ce [-2, +3] A, Electric Field [0,10,150]
                 kV/cm}},
  publisher   = {{Princeton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/r7nr-ee50}
}
Description:

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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More about this record
Authors Hernandez, Andres Correa
Gmachl, Claire
Lyu, Ming
Domains Engineering
Issue date 2023
URI https://doi.org/10.34770/r7nr-ee50
URI http://arks.princeton.edu/ark:/88435/dsp012f75rc341
Publisher Princeton University
Type Dataset
Funders Princeton University, DGE-2039656
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