Optical fiber-based silicon sensors and systems
Abstract/Contents
- Abstract
- Modern sensors optimized for a small footprint, high resolution, scalable production, and networkability are typically microelectromechanical systems. However, optical fiber-based sensor systems offer improvements in all of these metrics with the added benefit of immunity to electromagnetic interference. I have developed an optical fiber-based sensor platform that uses standard communications hardware for wavelength-multiplexed, optically-balanced, and thermally-compensated measurements of sensors arrays. I have also developed system-compatible silicon pressure, temperature, and acoustic sensors that I nanofabricate at low-cost on the wafer scale. I focus on the design, fabrication, characterization, and system-integration of these optical fiber sensors that are among the world's smallest and most sensitive for their target phenomena. For aerospace, cellular detection, and acoustic localization applications, I show that my optical fiber sensor systems have sufficient performance to outcompete even microelectromechanical systems.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Lorenzo, Simon Gabriel |
|---|---|
| Degree supervisor | Solgaard, Olav |
| Thesis advisor | Solgaard, Olav |
| Thesis advisor | Kahn, Joseph M. (Joseph Mardell) |
| Thesis advisor | Vuckovic, Jelena |
| Degree committee member | Kahn, Joseph M. (Joseph Mardell) |
| Degree committee member | Vuckovic, Jelena |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Simón G. Lorenzo. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/kb680pn5893 |
Access conditions
- Copyright
- © 2022 by Simon Gabriel Lorenzo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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