Optical model compression learning for galaxy morphology classification with diffractive deep neural networks.

Lu Z, Li J, Li M, Mei S, He S, Zhang J, Yu Y, Cheng B, Liu J

Open source

DOI
10.1364/oe.587209
Published
2026 May 4
Container
Optics express
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1364/oe.587209,
  title = {Optical model compression learning for galaxy morphology classification with diffractive deep neural networks.},
  author = {Lu Z and Li J and Li M and Mei S and He S and Zhang J and Yu Y and Cheng B and Liu J},
  year = {2026},
  journal = {Optics express},
  doi = {10.1364/oe.587209},
  url = {https://doi.org/10.1364/oe.587209}
}

RIS

TY  - JOUR
TI  - Optical model compression learning for galaxy morphology classification with diffractive deep neural networks.
AU  - Lu Z
AU  - Li J
AU  - Li M
AU  - Mei S
AU  - He S
AU  - Zhang J
AU  - Yu Y
AU  - Cheng B
AU  - Liu J
PY  - 2026
JO  - Optics express
DO  - 10.1364/oe.587209
UR  - https://doi.org/10.1364/oe.587209
ER  - 

APA

Z, L., J, L., M, L., S, M., S, H., J, Z., Y, Y., B, C., & J, L. (2026). Optical model compression learning for galaxy morphology classification with diffractive deep neural networks.. Optics express. https://doi.org/10.1364/oe.587209

Source records