Nonequilibrium dynamics and spectroscopies in quantum matter
Abstract/Contents
- Abstract
- Quantum many-body systems have attracted considerable attention because of their emergent properties, which have a wide range of applications such as superconductors for lossless power transmission, high-efficiency photovoltaic devices, and novel transistors for ultrafast switching. In addition, their interactions with light and associated metastable states have further extended the potential applications to quantum control, ultracold matter and quantum computing. Understanding the underlying physics and manipulating emergent properties will be key to an energy-sustainable future. However, due to the complexity of electronic and atomic degrees of freedom, numerical simulations using high-performance computers are usually required. With the help of high-performance computers, complicated microscopic models can be simulated numerically. This enhances our understanding, as well as directs the exploration of novel materials. In this light, this thesis lies in the study of quantum many-body physics utilizing massively parallel computational techniques, with focus on spectroscopy simulations, nonequilibrium problems and novel materials with intertwined orders.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2017 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Wang, Yao |
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Associated with | Stanford University, Department of Applied Physics. |
Primary advisor | Devereaux, Thomas Peter, 1964- |
Primary advisor | Shen, Zhi-Xun |
Thesis advisor | Devereaux, Thomas Peter, 1964- |
Thesis advisor | Shen, Zhi-Xun |
Thesis advisor | Qi, Xiaoliang |
Advisor | Qi, Xiaoliang |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Yao Wang. |
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Note | Submitted to the Department of Applied Physics. |
Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Yao Wang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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