Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)

Experimental Verification of Digital Thermo-Optic Switches with Silicon-on-Insulator Waveguide Corner Mirror

Authors
Tiancheng Li, Yunjie Shi, Na Sun, Hongpeng Shang, D. G. Sun
Corresponding Author
D. G. Sun
Available Online 24 December 2019.
DOI
10.2991/acsr.k.191223.023How to use a DOI?
Keywords
digital optical switch, thermo-optic effect, Goos-Hänchen effect
Abstract

In this work, an effective Goos-Hänchen (GH) spatial shift of reflective guided-mode is implemented with a waveguide corner mirror structure and further with an efficient combination of the GH spatial shift and the thermo-optic (TO) refractive index modulation (RIM), the function of a digital TO switch is systematically simulated with the theoretical model and the professional software of finite difference time-domain (FDTD). Therefore, on the silicon-on-insulator (SOI) platform, the functions of a 1×3/1×2 digital optical switch are experimentally demonstrated.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
Series
Advances in Computer Science Research
Publication Date
24 December 2019
ISBN
10.2991/acsr.k.191223.023
ISSN
2352-538X
DOI
10.2991/acsr.k.191223.023How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tiancheng Li
AU  - Yunjie Shi
AU  - Na Sun
AU  - Hongpeng Shang
AU  - D. G. Sun
PY  - 2019
DA  - 2019/12/24
TI  - Experimental Verification of Digital Thermo-Optic Switches with Silicon-on-Insulator Waveguide Corner Mirror
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 103
EP  - 106
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.023
DO  - 10.2991/acsr.k.191223.023
ID  - Li2019
ER  -