Applications of machine learning methods for photonics and non-Hermitian physics

Applications of machine learning methods for photonics and non-Hermitian physics

The recent advances in machine learning and related techniques have arisen their application in different areas. In physics, especially in photonics, Machine learning learns from the dataset and provide an accurate description of mapping between different physical variables. Therefore, they are qui...

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書目詳細資料
主要作者:	Zhu, Changyan
其他作者:	Chong Yidong
格式:	Thesis-Doctor of Philosophy
語言:	English
出版:	Nanyang Technological University 2024
主題:	Physics Photonics Non-Hermitian Machine learning
在線閱讀:	https://hdl.handle.net/10356/173955
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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