A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers.
- DOI
- 10.1109/tnnls.2026.3670396
- Published
- 2026 Sep
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3670396,
title = {A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers.},
author = {Fu J and Liu Y and Wang Q and Pan M and Cheng T},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3670396},
url = {https://doi.org/10.1109/tnnls.2026.3670396}
}RIS
TY - JOUR TI - A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers. AU - Fu J AU - Liu Y AU - Wang Q AU - Pan M AU - Cheng T PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3670396 UR - https://doi.org/10.1109/tnnls.2026.3670396 ER -
APA
J, F., Y, L., Q, W., M, P., & T, C. (2026). A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3670396
Source records
- pubmed · retrieved 2026-11-10T13:54:24.787Z