Publication: Efficient waveguide taper design with rapid and data-driven eigenmode expansion
Program
KU Authors
Co-Authors
Editor & Affiliation
Compiler & Affiliation
Translator
Other Contributor
Date
Language
Embargo Status
N/A
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
A novel, highly flexible, and data-driven method for designing compact and efficient integrated optical tapers will be discussed and demonstrated through state-of-the-art machine learning algorithms.
Source
Publisher
Institute of Electrical and Electronics Engineers
Subject
Engineering, Optics
Citation
Has Part
Source
2022 Photonics North, PN 2022
Book Series Title
Edition
DOI
10.1109/PN56061.2022.9908324
item.page.datauri
Link
Rights
N/A
