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Title: | QCL Dataset, 10 Layer Structure, Tolerance [-2, +3] A, Electric Field [0,10,150] kV/cm |
Other Titles: | QCL-layer_10-4rep-rand-m2A_3A-efield_0-10-150-v22-dataset |
Contributors: | Lyu, Ming Hernandez, Andres Correa Gmachl, Claire F. |
Keywords: | quantum cascade laser, mid-infrared, figure of merit |
Issue Date: | Dec-2023 |
Publisher: | Princeton University |
Abstract: | 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. |
Description: | 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. |
URI: | http://arks.princeton.edu/ark:/88435/dsp012f75rc341 https://doi.org/10.34770/r7nr-ee50 |
Appears in Collections: | EE Research Data Sets |
Files in This Item:
File | Description | Size | Format | |
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README.txt | 2.71 kB | Text | View/Download | |
QCL-layer_10-4rep-rand-m2A_3A-efield_0-10-150-v22-dataset.csv | 7.38 MB | CSV | View/Download |
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