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刘甫

副教授

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  • 电子邮箱:
  • 所在单位: 电子科学与工程学院
  • 学历: 博士研究生毕业
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  • 性别: 男
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  • 学位: 博士
  • 博士生导师: 是
  • 硕士生导师: 是
  • 学科: 电子科学与技术

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Our paper on searching spectral singularities with PSO was published in JOSAB

发布时间:2025-05-14
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发布时间:
2025-05-14
文章标题:
Our paper on searching spectral singularities with PSO was published in JOSAB
内容:

Our paper Y. Chen, Z. Liu, Y. Zhang, and F. Liu*, "Searching spectral singularities in non-Hermitian multi-layer structures based on the particle swarm optimization algorithm" was published in Journal of the Optical Society of America B.

 

 

Abstract:

Spectral singularity refers to a point in the spectrum where the transmittance or reflectance is infinitely high, typically occurring in non-Hermitian systems. How to quickly find the conditions of spectral singularities in complex optical structures is an important issue. In this paper, we propose a method to quickly obtain the parameters that are required for spectral singularities in non-Hermitian structures by particle swarm optimization (PSO) algorithm. Specifically, for a multi-layer film structure with alternating loss-neutral-gain-neutral materials, we first obtain the relation between the transmittance/reflectance and the material parameters using the transfer matrix method, then apply the PSO algorithm to quickly search the spectral singularity and the required condition. These results are confirmed by traditional analytical calculations through the calculation of the eigenvalues of the scattering matrix. In this process, it is found that the spectral singularities are highly sensitive to the system parameters, such as the real and imaginary parts of the refractive indices, demonstrating the potential applications of non-Hermitian multi-layer structures in sensing and detection. Our research demonstrates the effectiveness of the PSO algorithm in searching critical optical properties in complex non-Hermitian optical systems.

 

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DOI: https://doi.org/10.1364/josab.555954​​​​​​​