Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder

Keisuke Kojima; Toshiaki Koike-Akino; Ye Wang; Minwoo Jung; Matthew Brand

doi:10.1117/12.2650299

15 March 2023 Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder

Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Minwoo Jung, Matthew Brand

Author Affiliations +

Proceedings Volume 12431, Photonic and Phononic Properties of Engineered Nanostructures XIII; 124310C (2023) https://doi.org/10.1117/12.2650299
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

For the inverse design of metagratings and metasurfaces, generative deep learning has been widely explored. Most of the works are based on a conditional generative adversarial network (CGAN) and its variants, however, selecting proper hyper parameters for efficient training is challenging. An alternative approach, an adversarial conditional variational autoencoder (A-CVAE) has not been explored yet for the inverse design of metagratings and metasurfaces, even though it has shown great promise for the inverse design of planar nanophotonic waveguide power/wavelength splitters recently. In this paper, we discuss how A-CVAE can be applied for two-dimensional freeform metagratings, including the training dataset preparation, construction of the network, training techniques, and the performance of the inverse-designed metagratings.

Conference Presentation

Citation Download Citation

Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Minwoo Jung, and Matthew Brand "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", Proc. SPIE 12431, Photonic and Phononic Properties of Engineered Nanostructures XIII, 124310C (15 March 2023); https://doi.org/10.1117/12.2650299

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