Analytically Supported Hybrid Photonic–plasmonic Crystal Design Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Analytically Supported Hybrid Photonic–plasmonic Crystal Design Using Artificial Neural Networks

Published:2022-05-06 Issue:4 Volume:17 Page:1501-1525
ISSN:1557-1955
Container-title:Plasmonics
language:en
Short-container-title:Plasmonics

Author:

Peralta-Ángeles Jorge-Alberto,Reyes-Esqueda Jorge-Alejandro

Funder

Consejo Nacional de Ciencia y Tecnología

DGAPA-UNAM PAPIIT

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Biophysics,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s11468-022-01640-9.pdf

Reference26 articles.

1. Igor A (2009) Sukhoivanov and Igor V. Springer, Guryev. Photonic crystals

2. Sakoda K (2005) Optical Properties of Photonic Crystals. Springer

3. Joannopoulos JD, Johnson SG, Winn JN, Meade RD (2008) Photonic crystals: molding the flow of light. Princeton University Press, Princeton, New Jersey

4. Maier SA (2007) Plasmonics: Fundamentals and Applications. Springer

5. Kitson SC, Barnes WL, Sambles JR (1996) Full photonic band gap for surface modes in the visible. Phys Rev Lett 77:2670–2673

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An On-Demand Inverse Design Method for Nanophotonic Devices Based on Generative Model and Hybrid Optimization Algorithm;Plasmonics;2023-10-04

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