Computational nanophotonic design : frameworks and applications
Abstract/Contents
- Abstract
- In photonic inverse design, an automated procedure is used to search through designs that may have unintuitive shapes previously unconsidered by photonic designers. In recent years, the inverse design method has achieved more compact, efficient, and robust devices as compared to traditional photonic devices. However, inverse design has yet to become a standard, mainstream design technique. In this dissertation, we address several of the challenges in transforming inverse design into a practical design tool. First, inverse design devices are typically small in size because of the computational costs associated with rigorously simulating large electromagnetic structures. Here, we demonstrate a fast and accurate simulation for metasurfaces that are hundreds to thousands of wavelengths in size. Second, inverse design devices may exhibit geometries that are difficult to fabricate. Here, we show that appropriately fabrication-constrained inverse-designed devices can be successfully fabricated in commercial foundries. Finally, we develop SPINS, a nanophotonic inverse design framework that emphasizes flexibility and reproducibility. There are four main elements to the inverse design method: structure parametrization, the electromagnetic simulator, the objective function, and the optimization procedure. SPINS enables the designer to easily choose the appropriate elements to use for their particular photonic design problem, thus enabling the inverse design method to be more readily applicable to a larger number of design problems
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 | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Su, Logan Wang |
|---|---|
| Degree supervisor | Vuckovic, Jelena |
| Thesis advisor | Vuckovic, Jelena |
| Thesis advisor | Miller, D. A. B |
| Thesis advisor | Safavi-Naeini, Amir H |
| Degree committee member | Miller, D. A. B |
| Degree committee member | Safavi-Naeini, Amir H |
| Associated with | Stanford University, Department of Applied Physics. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Logan W. Su |
|---|---|
| Note | Submitted to the Department of Applied Physics |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Logan Wang Su
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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