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Purdue University

HIGH EFFICIENCY EDGE COUPLER, NOVEL NONLINEAR OPTICAL POLYMERS WITH LARGE KERR-COEFFICIENT AND AUTOMATIC LAYOUT GENERATION IN SILICON PHOTONICS

Abstract

dc:description.abstract

The potential of on-chip photonics is limited by the difficulty in coupling light from optical fibers to on-chip waveguides. Specifically, 3rd-order nonlinear on-chip photonics usually requires high optical power. Hence the first major focus of this research is to design high-efficiency edge couplers. To achieve this goal, loss mechanisms of basic inverse taper couplers are analyzed and experimentally verified. Then a cantilever-encapsulated inverse taper is demonstrated to further lower coupling loss compared to basic inverse tapers. Nonetheless, both couplers are designed to couple with lensed fibers. Hence for flat fibers with larger mode-field-diameter (MFD), a novel sub-wavelength grating based edge coupler is proposed and experimentally demonstrated to have 1.9dB/facet loss. Eventually a silicon multi-section taper with intermediate SU-8 waveguide cladding is proposed for flat fibers with even larger MFD and experimentally verified. Based on the result several suggestions are proposed for further improvement.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Niu, Ben
Contributors dc:contributor
  • Minghao Qi
  • Vladimir Shalaev
  • Xianfan Xu
  • Yi Xuan

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-2588

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Niu, Ben. HIGH EFFICIENCY EDGE COUPLER, NOVEL NONLINEAR OPTICAL POLYMERS WITH LARGE KERR-COEFFICIENT AND AUTOMATIC LAYOUT GENERATION IN SILICON PHOTONICS. Dissertation thesis, 2016. https://docs.lib.purdue.edu/open_access_dissertations/1372