Physics-based multibranch hybrid deep learning-assisted resonance method for rapid and high-precision measurement of optical resonator loss

Hao Cui, Dakun Yu, Xiang Liu, Jing Wang, Tianming Wang, Sheng Zhou, Bincheng Li

Open source

DOI
10.1364/ol.613913
Published
2026-10-26
Container
Optics Letters
Publisher
Optica Publishing Group
Open access
unknown

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BibTeX

@article{allodium:10.1364/ol.613913,
  title = {Physics-based multibranch hybrid deep learning-assisted resonance method for rapid and high-precision measurement of optical resonator loss},
  author = {Hao Cui and Dakun Yu and Xiang Liu and Jing Wang and Tianming Wang and Sheng Zhou and Bincheng Li},
  year = {2026},
  journal = {Optics Letters},
  doi = {10.1364/ol.613913},
  url = {https://doi.org/10.1364/ol.613913}
}

RIS

TY  - JOUR
TI  - Physics-based multibranch hybrid deep learning-assisted resonance method for rapid and high-precision measurement of optical resonator loss
AU  - Hao Cui
AU  - Dakun Yu
AU  - Xiang Liu
AU  - Jing Wang
AU  - Tianming Wang
AU  - Sheng Zhou
AU  - Bincheng Li
PY  - 2026
JO  - Optics Letters
DO  - 10.1364/ol.613913
UR  - https://doi.org/10.1364/ol.613913
ER  - 

APA

Cui, H., Yu, D., Liu, X., Wang, J., Wang, T., Zhou, S., & Li, B. (2026). Physics-based multibranch hybrid deep learning-assisted resonance method for rapid and high-precision measurement of optical resonator loss. Optics Letters. https://doi.org/10.1364/ol.613913

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