题名 | Learning ground states of spin-orbit-coupled Bose-Einstein condensates by a theory-guided neural network |
作者 | |
通讯作者 | Zhang, Dongxiao |
发表日期 | 2021-12-27
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DOI | |
发表期刊 | |
ISSN | 2469-9926
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EISSN | 2469-9934
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卷号 | 104期号:6 |
摘要 | The ground state of spin-orbit-coupled (SOC) Bose-Einstein condensates (BECs) is an intriguing subject that has not yet been fully explored. In particular, how to quickly obtain ground states for discovering their new structures is currently under active debate. In this work, we construct a theory-guided neural network (TgNN) to explore the ground states of one-dimensional BECs with and without SOC. We find that such method is markedly superior to the ordinary deep neural network due to theory guidance of the underlying problems. The former can replace the traditional method to directly give any ground state within a valid parameter plane using only imaginary-time evolution data of nine solutions as the training data, without the tedious step-by-step iterative calculation process. Furthermore, we show that the method of TgNN exhibits higher reliability and a better ability to generalize beyond regimes covered with the training data. This method provides a promising technique for discovering novel structures of ground states in parameterized spatiotemporal systems. |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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WOS研究方向 | Optics
; Physics
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WOS类目 | Optics
; Physics, Atomic, Molecular & Chemical
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WOS记录号 | WOS:000737281100012
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出版者 | |
EI入藏号 | 20220111429957
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EI主题词 | Bose-Einstein condensation
; Deep neural networks
; Iterative methods
; Statistical mechanics
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EI分类号 | Ergonomics and Human Factors Engineering:461.4
; Numerical Methods:921.6
; Mathematical Statistics:922.2
; Mechanics:931.1
; Physical Properties of Gases, Liquids and Solids:931.2
; Atomic and Molecular Physics:931.3
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ESI学科分类 | PHYSICS
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来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:3
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/259573 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.Peng Cheng Lab, Intelligent Energy Lab, Frontier Res Ctr, Shenzhen 518000, Peoples R China 2.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518000, Peoples R China |
通讯作者单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Bai, Xiao-Dong,Zhang, Dongxiao. Learning ground states of spin-orbit-coupled Bose-Einstein condensates by a theory-guided neural network[J]. PHYSICAL REVIEW A,2021,104(6).
|
APA |
Bai, Xiao-Dong,&Zhang, Dongxiao.(2021).Learning ground states of spin-orbit-coupled Bose-Einstein condensates by a theory-guided neural network.PHYSICAL REVIEW A,104(6).
|
MLA |
Bai, Xiao-Dong,et al."Learning ground states of spin-orbit-coupled Bose-Einstein condensates by a theory-guided neural network".PHYSICAL REVIEW A 104.6(2021).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Learning ground stat(605KB) | -- | -- | 限制开放 | -- |
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