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

Accelerating simulation of ensembles of locally differing optical structures via a Schur complement domain decomposition

Abstract

We present a Schur complement domain decomposition method that can significantly accelerate simulation of ensembles of locally differing optical structures. We apply the method to design a multi-spatial-mode photonic crystal waveguide splitter that exhibits high transmission and preservation of modal content, showing design acceleration by more than a factor of 20.

© 2014 Optical Society of America

Full Article  |  PDF Article
More Like This
Accelerating convergence of an iterative solution of finite difference frequency domain problems via schur complement domain decomposition

Nathan Zhao, Sacha Verweij, Wonseok Shin, and Shanhui Fan
Opt. Express 26(13) 16925-16939 (2018)

Accelerating adjoint variable method based photonic optimization with Schur complement domain decomposition

Nathan Z. Zhao, Salim Boutami, and Shanhui Fan
Opt. Express 27(15) 20711-20719 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.