A single germanium photodiode uses optoelectronic chromatic dispersion to generate multi-frequency RF features that machine-learning models convert into spectral reconstructions with 0.178 nm accuracy for single wavelengths in the C- and L-bands.
Deep learning spectroscopy: Neural networks for molecular excitation spectra.Advanced science, 6(9):1801367, 2019
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Optoelectronic Chromatic Dispersion in a Single Photodiode for Machine-Learning-Based Computational Spectroscopy
A single germanium photodiode uses optoelectronic chromatic dispersion to generate multi-frequency RF features that machine-learning models convert into spectral reconstructions with 0.178 nm accuracy for single wavelengths in the C- and L-bands.