Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Ultra-Fast Optimization of Aperiodic Metasurface Superpixels Using Conditional Physics-Augmented Deep Learning

Not Accessible

Your library or personal account may give you access

Abstract

Conventional neural network surrogate solvers are severely limited by their inability to function outside of fixed simulation parameters. We present a foundational method for conditioning on arbitrary parameters and demonstrate optimizing high-efficiency aperiodic superpixel deflectors.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep-learning designed fabrication-friendly metasurfaces

Akira Ueno, Hung-I Lin, Fan Yang, Sensong An, Louis Martin-Monier, Mikhail Y. Shalanginov, Tian Gu, and Juejun Hu
FTu1E.3 Frontiers in Optics (FiO) 2023

Inverse Design of Nonlocal Metasurfaces Using Augmented Partial Factorization

Shiyu Li, Ho-Chun Lin, and Chia Wei Hsu
FW4H.5 CLEO: Fundamental Science (CLEO:FS) 2023

Automatic wide-angle optical design optimization for deep-learning application

Julie Buquet, Jean-François Lalonde, and Simon Thibault
FM6C.6 Frontiers in Optics (FiO) 2023

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Deep-learning designed fabrication-friendly metasurfaces

Akira Ueno, Hung-I Lin, Fan Yang, Sensong An, Louis Martin-Monier, Mikhail Y. Shalanginov, Tian Gu, and Juejun Hu
FTu1E.3 Frontiers in Optics (FiO) 2023

Inverse Design of Nonlocal Metasurfaces Using Augmented Partial Factorization

Shiyu Li, Ho-Chun Lin, and Chia Wei Hsu
FW4H.5 CLEO: Fundamental Science (CLEO:FS) 2023

Automatic wide-angle optical design optimization for deep-learning application

Julie Buquet, Jean-François Lalonde, and Simon Thibault
FM6C.6 Frontiers in Optics (FiO) 2023

Optimizing Deep Learning Based Retinal Diseases Classification On Optical Coherence Tomography Scans

Aditya Chandra Mandal and Abhijeet Phatak
1263220 European Conference on Biomedical Optics (ECBO) 2023

Smart Snapshot spectropolarimetric imaging enabled by optical metasurfaces and deep learning

Lidan Zhang, Chen Zhou, Yimin Ding, Hyunju Ahn, Shengyuan Chang, Yao Duan, Xi Chen, Md Tarek Rahman, Zhiwen Liu, and Xingjie Ni
FTh4D.1 CLEO: Fundamental Science (CLEO:FS) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.