Black-box simulation method: train the optical model from output

Zibo Hu; Behrouz Movahhed Nouri; Hamed Dalir; Volker J. Sorger

doi:10.1117/12.2650039

10 March 2023 Black-box simulation method: train the optical model from output

Zibo Hu, Behrouz Movahhed Nouri, Hamed Dalir, Volker J. Sorger

Proceedings Volume 12415, Physics and Simulation of Optoelectronic Devices XXXI; 124150K (2023) https://doi.org/10.1117/12.2650039
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Accurate simulation is a critical requirement for modern optical systems, but precise theoretical modeling can be challenging due to various factors such as misalignment, theoretical approximations, and instrument errors. This paper presents the black-box simulation method, which addresses these limitations by training the optical system model using the optical field outputs. This approach leads to more accurate simulations, making it possible to effectively train optical Neural Network systems for improved performance.

Conference Presentation

Citation Download Citation

Zibo Hu, Behrouz Movahhed Nouri, Hamed Dalir, and Volker J. Sorger "Black-box simulation method: train the optical model from output", Proc. SPIE 12415, Physics and Simulation of Optoelectronic Devices XXXI, 124150K (10 March 2023); https://doi.org/10.1117/12.2650039

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available