Data assimilation-based internal structure modeling for waveguide devices

Tsuyoshi Konishi; Junpei Funatsuki; Tomoya Kurahashi

doi:10.1117/12.2656521

15 March 2023 Data assimilation-based internal structure modeling for waveguide devices

Tsuyoshi Konishi, Junpei Funatsuki, Tomoya Kurahashi

Proceedings Volume 12438, AI and Optical Data Sciences IV; 124380U (2023) https://doi.org/10.1117/12.2656521
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Data assimilation is a well-established technique that combines computational models with observational data and is now widely used in a variety of fields and holds great promise for many digital twin applications. It refers to the estimation of the state of a physical system from models and measurements by fitting models of physical systems to data. In this talk, we introduce our new trial for internal structure modeling of waveguide devices using data assimilation. Our proposed approach can evaluate the waveguide structure by fitting models of waveguide structures to a measured nonlinear spectral change induced by optical pulse propagation.

Conference Presentation

Citation Download Citation

Tsuyoshi Konishi, Junpei Funatsuki, and Tomoya Kurahashi "Data assimilation-based internal structure modeling for waveguide devices", Proc. SPIE 12438, AI and Optical Data Sciences IV, 124380U (15 March 2023); https://doi.org/10.1117/12.2656521

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