Design of Photonic Crystal Cavities by Genetic Algorithms and Numerical Optimization Techniques
Abstract/Contents
- Abstract
- Photonic Crystals are semiconductor material structures that show promise for a variety of photonic-based applications. The properties of photonic crystals are very design-dependent. In this paper, we investigate the design of photonic crystal cavities by using Genetic Algorithms and Numerical Optimization Techniques. We see that the Genetic Algorithm proves to be powerful and effective design tool for such cavity structures.
Description
| Type of resource | text |
|---|---|
| Date created | 2006-06-04 |
Creators/Contributors
| Author | Goh, Joel |
|---|---|
| Advisor | Vuckovic, Jelena |
| Department | Stanford University. Department of Electrical Engineering. |
Subjects
| Subject | Photonic crystals |
|---|---|
| Subject | Genetic algorithms |
| Subject | Semiconductors |
| Genre | Thesis |
Bibliographic information
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- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Goh, Joel (2006). Design of Photonic Crystal Cavities by Genetic Algorithms and Numerical Optimization Techniques. Stanford Digital Repository. Available at http://purl.stanford.edu/cd054gf2198
Collection
Undergraduate Theses, School of Engineering
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