Modeling of Gain and Q- Factor Characteristics in Semiconductor Optical Amplifier based on Convolutional Neural Network

This paper proposes a modeling method of semiconductor optical amplifier based on a deep learning technique. We report errors of gain and Q factor between the actual and estimated waveforms are less than 0.5 dB.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676919
Citations
1
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
0.21
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article

Modeling of Gain and Q- Factor Characteristics in Semiconductor Optical Amplifier based on Convolutional Neural Network

Daisuke Hisano, Ryoma Katsura
1 citations
Semiconductor Lasers and Optical Devices
0.21
article

Modeling of Gain and Q- Factor Characteristics in Semiconductor Optical Amplifier based on Convolutional Neural Network

Daisuke Hisano, Ryoma Katsura
article en
1 citations

Abstract

This paper proposes a modeling method of semiconductor optical amplifier based on a deep learning technique. We report errors of gain and Q factor between the actual and estimated waveforms are less than 0.5 dB.

The University of Osaka (JP)
Affordable and clean energy
Openalex Percentile: Top 48%
Semiconductor Lasers and Optical Devices
0.21
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Modeling of Gain and Q- Factor Characteristics in Semiconductor Optical Amplifier based on Convolutional Neural Network — Daisuke Hisano, Ryoma Katsura · (2024) | TGRS Research Map | TGRS