Publication: Efficient waveguide taper design with rapid and data-driven eigenmode expansion
Program
KU Authors
Co-Authors
Advisor
Publication Date
2022
Language
English
Type
Conference proceeding
Journal Title
Journal ISSN
Volume 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.
Description
Source:
2022 Photonics North, PN 2022
Publisher:
Institute of Electrical and Electronics Engineers Inc.
Keywords:
Subject
Engineering, Optics