Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes
- DOI
- 10.1515/nanoph-2023-0202
- Published
- 2023-06-15
- Container
- Nanophotonics
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1515/nanoph-2023-0202,
title = {Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes},
author = {Mengdie Hou and Mengjun Xu and Jiangtao Xu and Jiafeng Lu and Yi An and Liangjin Huang and Xianglong Zeng and Fufei Pang and Jun Li and Lilin Yi},
year = {2023},
journal = {Nanophotonics},
doi = {10.1515/nanoph-2023-0202},
url = {https://doi.org/10.1515/nanoph-2023-0202}
}RIS
TY - JOUR TI - Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes AU - Mengdie Hou AU - Mengjun Xu AU - Jiangtao Xu AU - Jiafeng Lu AU - Yi An AU - Liangjin Huang AU - Xianglong Zeng AU - Fufei Pang AU - Jun Li AU - Lilin Yi PY - 2023 JO - Nanophotonics DO - 10.1515/nanoph-2023-0202 UR - https://doi.org/10.1515/nanoph-2023-0202 ER -
APA
Hou, M., Xu, M., Xu, J., Lu, J., An, Y., Huang, L., Zeng, X., Pang, F., Li, J., & Yi, L. (2023). Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes. Nanophotonics. https://doi.org/10.1515/nanoph-2023-0202
Source records
- crossref · retrieved 2026-09-26T13:34:34.160Z