Photonic frequency engineering for efficient thermal energy and computation hardware
Abstract/Contents
- Abstract
- As information explosion and climate change bring increasingly detrimental impacts, my research is committed to sustainability goals to develop clean energy sources, sustainable building materials, and efficient computation hardware. This goal lies at the intersection of electromagnetics, thermal management, and photonic computing. Achieving these goals would significantly impact multiple fields such as carbon neutralization and artificial intelligence. However, it faces fundamental limitations such as unpredictable environments, inflexible controls, and spatial footprints to build photonic systems that can preserve energy sustainably and process information intelligently. During my Ph.D., to achieve these goals, my research focused on 1. passive radiative cooling-based nighttime power generation, smart buildings, and water harvesting and 2. photonic frequency dimension-based computational hardware that is compact and consumes minimum control energy. Driven by sustainable energy applications, I also bridged disciplines to solve fundamental scientific problems in near-field heat transfer and optical-mechanical control, which provide implementable and scalable solutions to thermal transport and light sails. Even though achieving these goals can bring a significant difference in overcoming the technological barriers, we are well aware that, many challenges remain unsolved before we could design energy generation and building systems in real-time at a large scale, to prevent information overload and climate crisis before it even occurs, and deploy scalable photonic computing architecture. This is the promise of my Ph.D. research: I integrate analysis, simulation, and experiment methods from materials and control for light and heat to generate and preserve high-grade energy, to enable compact high-speed photonic computation hardware, to comprehensively understand and rationally design multiscale and multimodal energy 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 | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Fan, Lingling |
|---|---|
| Degree supervisor | Fan, Shanhui, 1972- |
| Thesis advisor | Fan, Shanhui, 1972- |
| Thesis advisor | Fejer, Martin M. (Martin Michael) |
| Thesis advisor | Loncar, Marko |
| Thesis advisor | Miller, D. A. B |
| Thesis advisor | Vuckovic, Jelena |
| Degree committee member | Fejer, Martin M. (Martin Michael) |
| Degree committee member | Loncar, Marko |
| Degree committee member | Miller, D. A. B |
| Degree committee member | Vuckovic, Jelena |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Lingling Fan. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/mz096kw6662 |
Access conditions
- Copyright
- © 2023 by Lingling Fan
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...