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

Optimizing Meta-Optics: Advancing Efficiency and Fabricability

Not Accessible

Your library or personal account may give you access

Abstract

The optimization of high-performance meta-devices is an essential prerequisite to developing meta-optics which are competitive with traditional optical design along standard performance metrics (MTF, WFE, etc.). In this paper we share recent contributions to supercell fabrication robustness and topology optimization efficiency which aid in this goal. Minimum feature size enforcement of arbitrary binary masks allows for global optimization strategies to meet the strict feature size constraints of state-of-the-art nanofabrication processes. Additionally, the introduction of multiple-gradient descent into topology optimization enhances its convergence for planar metasurface design by at least a factor of 2.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Meta-optic accelerators for object classification

Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine.
FTu2G.2 Flat Optics: Components to Systems (FLATOPTICS) 2023

Meta-optic accelerators for object classifier

Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine
SM3J.2 CLEO: Science and Innovations (CLEO:S&I) 2023

Inverse design of optical switch with meta-learning

Beicheng Lou, Jesse A Rodríguez, Benjamin Wang, Mark Cappelli, and Shanhui Fan
STh4G.2 CLEO: Science and Innovations (CLEO:S&I) 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
Meta-optic accelerators for object classification

Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine.
FTu2G.2 Flat Optics: Components to Systems (FLATOPTICS) 2023

Meta-optic accelerators for object classifier

Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine
SM3J.2 CLEO: Science and Innovations (CLEO:S&I) 2023

Inverse design of optical switch with meta-learning

Beicheng Lou, Jesse A Rodríguez, Benjamin Wang, Mark Cappelli, and Shanhui Fan
STh4G.2 CLEO: Science and Innovations (CLEO:S&I) 2023

Semiconductors Meta-Optics: Fabrication and Applications

G. Brière, P. Ni, S. Héron, S. Chenot, S. Vézian, V. Brandli, B. Damilano, J.Y Duboz, M. Iwanaga, and P. Genevet
FTh3M.7 CLEO: QELS_Fundamental Science (CLEO:FS) 2019

Full color Imaging with Large-Aperture Meta-Optics

Arka Majumdar
FW3G.2 Flat Optics: Components to Systems (FLATOPTICS) 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.