AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets

AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets

Recent advances in silicon photonics promise to revolutionize modern technology by improving the performance of everyday devices in multiple fields (Thomson et al 2016 J. Opt. 18 073003). However, as the industry moves into a mass fabrication phase, the problem of adequate testing of integrated sili...

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Bibliographic Details
Main Authors: Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
optomechanical accelerometer
cavity optomechanics
testing
automatic coupling
active alignment
silicon photonics
Online Access:https://doi.org/10.1088/2632-2153/adaa4d
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https://doi.org/10.1088/2632-2153/adaa4d

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