Fabrication aware design of sensitive photonic devices

Odile Liboiron-Ladouceur; Dusan Gostimirovic; Dan-Xia Xu; Yuri Grinberg; Chenxin Xun; James Darby; Bokun Zhao

doi:10.1117/12.2692673

8 March 2024 Fabrication aware design of sensitive photonic devices

Odile Liboiron-Ladouceur, Dusan Gostimirovic, Dan-Xia Xu, Yuri Grinberg, Chenxin Xun, James Darby, Bokun Zhao

Proceedings Volume 12890, Smart Photonic and Optoelectronic Integrated Circuits 2024; 128900A (2024) https://doi.org/10.1117/12.2692673
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

Since the turn of the century, Silicon Photonics (SiPh) has advanced data communication and computing via diverse integrated optical functions and multiplexing strategies. However, conventional design methodologies limit scalability, and inverse designs lead to features sensitive to fabrication process variations. This talk explores the harnessing of machine learning (ML) to predict and rectify these deviations in the design phase. This technique enhances design fidelity and device performance, while facilitating smaller design features, bypassing constraints of traditional methods. Highlighting PreFab, an innovative ML technology, applicable to both conventional and inverse designs, it predicts and corrects fabrication deviations, enabling refined design processes.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Odile Liboiron-Ladouceur, Dusan Gostimirovic, Dan-Xia Xu, Yuri Grinberg, Chenxin Xun, James Darby, and Bokun Zhao "Fabrication aware design of sensitive photonic devices", Proc. SPIE 12890, Smart Photonic and Optoelectronic Integrated Circuits 2024, 128900A (8 March 2024); https://doi.org/10.1117/12.2692673

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