metadata
license: cc-by-4.0
tags:
- physics-informed
- spectroscopy
- infrared
- synthetic
pretty_name: PIDU simulated datasets
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 |
outputs/case<N>/outputs/loss_{CNN,DU,PIDU}_<i>_001/ |
Test exports of the trained runs (8 seeds per model; use case 2 includes test_exp, the predictions on the measured spectra) |
outputs/case<N>/loss/loss_{CNN,DU,PIDU}_<i>_001/ |
Per-epoch train / val / test loss of those runs |
outputs/case<N>/logs/train_<TYPE>_<i>.log |
Training logs of those runs |
models/usecase<N>/<TYPE>-t01-<i>.pt |
Checkpoints of those runs (the Fig. 2 timings average over seeds) |
outputs/case<N>/outputs/loss_lma_{baseline,noisy,random}/ |
TRF (LMA) baseline: use case 1 on the 1024 simulated test spectra, use case 2 on the 75 measured spectra |
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 themselves (the predictions and fits on them are).
Usage
pidu-hub download --usecase 1 2 # everything
pidu-hub download --what data logs --usecase 1 # datasets and training logs only
Citation
To be added.