Intelligent nanophotonics: when machine learning sheds light
Abstract The synergistic development of nanophotonics and machine learning has inspired tremendous innovations in both fields in the past decade. In diverse photonics research, deep-learning methods using artificial neural networks become the key game changer that greatly facilitates rapid nanophoto...
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| Main Authors: | Nanfan Wu, Yuxiang Sun, Jingtian Hu, Chuang Yang, Zichun Bai, Fenglei Wang, Xingzhe Cui, Shengjie He, Yingjie Li, Chi Zhang, Ke Xu, Jun Guan, Shumin Xiao, Qinghai Song |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | eLight |
| Online Access: | https://doi.org/10.1186/s43593-025-00085-x |
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