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Magneto-sensitive photonic crystal optical filter with tunable response in 12–19 GHz; cross over from design to prediction of performance using machine learning
Physics Letters A ( IF 2.3 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.physleta.2021.127328
Fatemeh Ghasemi , Mortaza Aliasghary , Sepehr Razi

Photonic crystal structure made of Si, SiO2 and a plasma defect layer is suggested for optical filter applications. Generation of stop band and resonant modes localizations at transmittance spectrum of the structure are studied by exploring the dependences of the response on the period number of the layers and the electron density of the plasma slab. Also, the role of the magnetically induced birefringence in the anisotropic defect layer and the light incident angle on the optical features of crystal are studied. Results show that the response of the proposed structure could be tuned remarkably in practice by the selected structural as well as external parameters. Furthermore, an artificial intelligence (AI) approach is proposed to predict the final response of the suggested crystal in various input circumstances. Very significant concordance between results of the AI and transfer matrix method (TMM) approaches is observed.



中文翻译:

具有12-19 GHz可调响应的磁敏光子晶体光学滤波器;使用机器学习从设计过渡到性能预测

Si,SiO 2制成的光子晶体结构建议将等离子缺陷层用于光学滤波器。通过研究响应对层的周期数和等离子体平板的电子密度的依赖性,研究了结构的透射谱处的阻带和共振模局部化。此外,还研究了各向异性缺陷层中磁感应双折射的作用以及光入射角对晶体光学特性的影响。结果表明,通过选择的结构以及外部参数,可以在实践中显着地调整所提议结构的响应。此外,提出了一种人工智能(AI)方法来预测所建议的晶体在各种输入情况下的最终响应。

更新日期:2021-04-06
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