Inverse design of quasi-bound states in the continuum metasurface for the polarization independent enhancement of Goos-Hänchen shift

IF 6.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Zuhai Ma, Youzhi Shi, Yu Chen, Yu Xue, Gan Wan, Chi Zhang, Hui Jing, Le-Man Kuang, Xinxing Zhou
{"title":"Inverse design of quasi-bound states in the continuum metasurface for the polarization independent enhancement of Goos-Hänchen shift","authors":"Zuhai Ma,&nbsp;Youzhi Shi,&nbsp;Yu Chen,&nbsp;Yu Xue,&nbsp;Gan Wan,&nbsp;Chi Zhang,&nbsp;Hui Jing,&nbsp;Le-Man Kuang,&nbsp;Xinxing Zhou","doi":"10.1007/s11433-024-2493-5","DOIUrl":null,"url":null,"abstract":"<div><p>Bound states in the continuum (BIC) have been widely researched and applied in optics due to their unique electromagnetic response. However, there are still difficulties in predicting and customizing BIC spectra. To address this issue, we design an efficient combined neural network for highly accurate prediction of quasi-bound states in the continuum (q-BIC) spectrum, as well as for the inverse design of the polarization independent enhancement of the Goos-Hänchen (GH) shift. Firstly, we propose a C<sub>4</sub> symmetric metasurface for achieving q-BIC spectrum and providing the condition of enhanced GH shift. By employing a combined neural network, the intensity, position, shape, and phase of q-BIC spectrum with ultra-narrow resonance can be accurately predicted and on-demand customized, even under a small dataset. Besides, we develop a screening algorithm for the q-BIC spectrum to quickly realize the polarization independent enhancement of GH shift. As an application, an ultra-high sensitivity refractive index sensor has been proposed, whose sensitivity can reach 2.31×10<sup>7</sup> µm/RIU for TM polarization and 1.03·10<sup>6</sup> µm/RIU for TE polarization. Therefore, this work brings new solutions for quick prediction of q-BIC spectrum and the development of flexible polarization photonic devices.</p></div>","PeriodicalId":774,"journal":{"name":"Science China Physics, Mechanics & Astronomy","volume":"67 12","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science China Physics, Mechanics & Astronomy","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11433-024-2493-5","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Bound states in the continuum (BIC) have been widely researched and applied in optics due to their unique electromagnetic response. However, there are still difficulties in predicting and customizing BIC spectra. To address this issue, we design an efficient combined neural network for highly accurate prediction of quasi-bound states in the continuum (q-BIC) spectrum, as well as for the inverse design of the polarization independent enhancement of the Goos-Hänchen (GH) shift. Firstly, we propose a C4 symmetric metasurface for achieving q-BIC spectrum and providing the condition of enhanced GH shift. By employing a combined neural network, the intensity, position, shape, and phase of q-BIC spectrum with ultra-narrow resonance can be accurately predicted and on-demand customized, even under a small dataset. Besides, we develop a screening algorithm for the q-BIC spectrum to quickly realize the polarization independent enhancement of GH shift. As an application, an ultra-high sensitivity refractive index sensor has been proposed, whose sensitivity can reach 2.31×107 µm/RIU for TM polarization and 1.03·106 µm/RIU for TE polarization. Therefore, this work brings new solutions for quick prediction of q-BIC spectrum and the development of flexible polarization photonic devices.

反向设计连续体元表面中的准束缚态,实现与偏振无关的 Goos-Hänchen 偏移增强
连续体中的束缚态(BIC)因其独特的电磁响应而被广泛研究和应用于光学领域。然而,在预测和定制 BIC 光谱方面仍然存在困难。针对这一问题,我们设计了一种高效的组合神经网络,用于高精度预测连续体中的准束缚态(q-BIC)光谱,以及反向设计与偏振无关的 Goos-Hänchen (GH) 偏移增强。首先,我们提出了实现 q-BIC 光谱的 C4 对称元面,并提供了增强 GH 偏移的条件。通过采用组合神经网络,即使在数据集较小的情况下,也能准确预测并按需定制具有超窄共振的 q-BIC 光谱的强度、位置、形状和相位。此外,我们还开发了一种 q-BIC 光谱筛选算法,可快速实现偏振无关的 GH 偏移增强。作为应用,我们提出了一种超高灵敏度折射率传感器,其灵敏度在 TM 偏振时可达到 2.31×107 µm/RIU,在 TE 偏振时可达到 1.03-106 µm/RIU。因此,这项工作为快速预测 q-BIC 光谱和开发灵活的偏振光子器件带来了新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Science China Physics, Mechanics & Astronomy
Science China Physics, Mechanics & Astronomy PHYSICS, MULTIDISCIPLINARY-
CiteScore
10.30
自引率
6.20%
发文量
4047
审稿时长
3 months
期刊介绍: Science China Physics, Mechanics & Astronomy, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research. Science China Physics, Mechanics & Astronomy, is published in both print and electronic forms. It is indexed by Science Citation Index. Categories of articles: Reviews summarize representative results and achievements in a particular topic or an area, comment on the current state of research, and advise on the research directions. The author’s own opinion and related discussion is requested. Research papers report on important original results in all areas of physics, mechanics and astronomy. Brief reports present short reports in a timely manner of the latest important results.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信