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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.