Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings

Maira Khafagy, Merna Khafagy, Mohamed A. Swillam

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DOI: 10.1038/s41598-026-43725-z
Published: 4
Container: Scientific Reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-43725-z,
  title = {Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings},
  author = {Maira Khafagy and Merna Khafagy and Mohamed A. Swillam},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-43725-z},
  url = {https://doi.org/10.1038/s41598-026-43725-z}
}

RIS

TY  - JOUR
TI  - Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings
AU  - Maira Khafagy
AU  - Merna Khafagy
AU  - Mohamed A. Swillam
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-43725-z
UR  - https://doi.org/10.1038/s41598-026-43725-z
ER  -

APA

Khafagy, M., Khafagy, M., & Swillam, M. A. (2026). Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. Scientific Reports. https://doi.org/10.1038/s41598-026-43725-z

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doaj · retrieved 2026-09-26T05:11:37.204Z