Machine learning for performance homogeneity of photonic chips

被引：1
|
作者：
Yadav, Ksenia [1 ]
Bidnyk, Serge [1 ]
Balakrishnan, Ashok [1 ]
机构：
[1] Enablence Technol Inc, 390 March Rd, Ottawa, ON K2K 0G7, Canada
来源：
2022 PHOTONICS NORTH (PN) | 2022年
关键词：
machine learning; artificial intelligence; waveguide; planar lightwave circuit; integrated optics;
D O I：
10.1109/PN56061.2022.9908385
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The performance homogeneity of photonic chips is critical when it comes to the deployment of the technology in high volume applications. We present our research for using machine learning for optimization of the design space and prediction of optical performance of the planar lighwave circuit technology in volume manufacturing.
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页数：1
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