Direct-detected spectroscopy based on a plasmonic Schottky photodetector and a deep neural network.
Opt Lett
; 48(19): 4965-4968, 2023 Oct 01.
Article
em En
| MEDLINE
| ID: mdl-37773361
ABSTRACT
Computational algorithms have facilitated the miniaturization of spectrometers, which is essential for on-chip and portable applications. A plasmonic Schottky photodetector provides a filter-free and CMOS-compatible scheme for spectral measurement. In this study, we report on a direct-detected spectral analysis based on an integrated vertically coupled plasmonic nanostructure Schottky photodetector. We demonstrate that the plasmonic Schottky photodetector has a fast response with a -3â
dB bandwidth of 600â
kHz and a high peak detectivity of 8.65 × 1010 Jones. By designing a deep neural network (DNN), we demonstrate the reconstruction of the unknown spectrum with a mean square error (MSE) of 1.57 × 10-4 at a broad operating wave band of 450-950â
nm, using only 20 distinct devices. Moreover, the spectral resolution of the 20 devices can reach to 7â
nm. These findings provide a promising route for the development of chip-integrated spectrometers with high spectral accuracy and optical performance.
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01-internacional
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MEDLINE
Idioma:
En
Revista:
Opt Lett
Ano de publicação:
2023
Tipo de documento:
Article