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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Main Authors: | Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/adaa4d |
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