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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Detaylı Bibliyografya
Yazar: Zhu, Changyan
Diğer Yazarlar: Chong Yidong
Materyal Türü: Thesis-Doctor of Philosophy
Dil:English
Baskı/Yayın Bilgisi: Nanyang Technological University 2024
Konular:
Physics
Photonics
Non-Hermitian
Machine learning
Online Erişim:https://hdl.handle.net/10356/173955

Internet

https://hdl.handle.net/10356/173955

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