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PIDU simulated datasets
Simulated infrared spectra (Transfer Matrix Method, random Drude-Lorentz layer and oscillator parameters) with their ground-truth parameters, used to train and test the models of Physics-infused Deep Unfolding for Automated Material Parameter Extraction of Optical Data (Koumans, Stevens, van Sloun, van Mechelen).
Code: https://github.com/MKoumans/PIDU · Checkpoints: MKoumans/pidu-optical-parameter-extraction
Contents
| Path | Content |
|---|---|
data/datasets/usecase1/*.npz |
Use case 1: train / val / test sets |
data/datasets/usecase2/*.npz |
Use case 2: train / val / test sets, with (wsn) and without (nwsn) the second system |
data/labels/*.xlsx |
Label mappings used during dataset generation |
Each .npz holds the clean spectra (data_y_*), noised spectra (data_y_noised_*), initial and
target parameters (data_x_*), and the wavenumber axis (wn_*).
Not included: the experimental SrTiO₃ measurements.
Usage
pidu-hub download --what data --usecase 1 2
Citation
To be added.
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