Machine learning applied to monochromatic diffraction: direct and inverse problems.
- DOI
- 10.1364/josaa.592423
- Published
- 2026 Jun 1
- Container
- Journal of the Optical Society of America. A, Optics, image science, and vision
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1364/josaa.592423,
title = {Machine learning applied to monochromatic diffraction: direct and inverse problems.},
author = {Blumenkron P and Trevino JP and Ocaña-Bribiesca MA and Gutierrez-Esparza AJ and Pimenta WM},
year = {2026},
journal = {Journal of the Optical Society of America. A, Optics, image science, and vision},
doi = {10.1364/josaa.592423},
url = {https://doi.org/10.1364/josaa.592423}
}RIS
TY - JOUR TI - Machine learning applied to monochromatic diffraction: direct and inverse problems. AU - Blumenkron P AU - Trevino JP AU - Ocaña-Bribiesca MA AU - Gutierrez-Esparza AJ AU - Pimenta WM PY - 2026 JO - Journal of the Optical Society of America. A, Optics, image science, and vision DO - 10.1364/josaa.592423 UR - https://doi.org/10.1364/josaa.592423 ER -
APA
P, B., JP, T., MA, O., AJ, G., & WM, P. (2026). Machine learning applied to monochromatic diffraction: direct and inverse problems.. Journal of the Optical Society of America. A, Optics, image science, and vision. https://doi.org/10.1364/josaa.592423
Source records
- pubmed · retrieved 2026-09-25T01:46:53.115Z