Analysing group indices and dispersion characteristics of engineered photonic crystal waveguides using artificial neural network
Author:
Funder
DST Inspire
Publisher
Springer Science and Business Media LLC
Subject
Atomic and Molecular Physics, and Optics
Link
https://link.springer.com/content/pdf/10.1007/s12596-023-01285-9.pdf
Reference32 articles.
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3. T. Baba, Slow light in photonic crystals. Nat. Photonics. 2, 465–473 (2008). https://doi.org/10.1038/nphoton.2008.146
4. S. Chugh, A. Gulistan, S. Ghosh, B.M.A. Rahman, Machine learning approach for computing optical properties of a photonic crystal fiber. Opt. Express. 27, 36414 (2019). https://doi.org/10.1364/oe.27.036414
5. P. Colman, S. Combrié, G. Lehoucq, A. De Rossi, Control of dispersion in photonic crystal waveguides using group symmetry theory. Opt. Express 20, 13108–13114 (2012). https://doi.org/10.1364/oe.20.013108
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