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Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks

OPTICS LETTERS (2021)

Multi-Band Programmable Gain Raman Amplifier

Uiara Celine de Moura et al.

Summary: This paper experimentally demonstrates a multi-band (S+C+L) programmable gain optical amplifier using only Raman effects and machine learning. The amplifier achieves >1000 programmable gain profiles within an ultra-wide bandwidth range of 17.6 THz (140.7 nm) in an ultra-fast way.

JOURNAL OF LIGHTWAVE TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic

Model-Aware Deep Learning Method for Raman Amplification in Few-Mode Fibers

Gianluca Marcon et al.

Summary: The research proposes a deep learning method to optimize the design of few-mode Raman amplifiers in space-division multiplexing fiber systems, achieving success. By training neural networks, the proposed method can directly optimize specific regions of the Raman gains, making the system more robust when increasing pump wavelengths, modes, and amplification bandwidth.

JOURNAL OF LIGHTWAVE TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic