课题基金 / 基金详情

Imaging and Sensing via Plasmonic Nanohole Resonances: Quantitative Analysis and Numerical Inversion

Imaging and Sensing via Plasmonic Nanohole Resonances: Quantitative Analysis and Numerical Inversion
通过等离子体纳米孔共振成像和传感:定量分析和数值反演
批准号:
2011148
负责人:
Junshan Lin
金额:
$22.15万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-06-30

项目摘要

项目成果

Junshan Lin的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Plasmonic structures patterned with subwavelength holes can induce various types of resonances, which lead to the so-called extraordinary optical transmission (EOT) and strongly localized optical field near the hole apertures. Such remarkable phenomenon has found significant applications in biological and chemical sensing, optical lenses, and other novel optical devices. This project will examine the fundamental mathematical and computational issues arising from the imaging and sensing problems that arise from these plasmonic structures. Specifically, this project will develop analytical and computational tools to solve the underlying inverse problems in an efficient and innovative manner. The outcome of the project will provide experimentalists with essential mathematical tools in applications of nano-plasmonic structures for biochemical sensing and to provide new avenues for super-resolution imaging. This project will also provide interdisciplinary applied mathematics training and research experiences for both graduate and undergraduate students.The project will address key scientific challenges in the mathematical investigation of plasmonic nanohole resonances and their applications in imaging and sensing. First, analytical tools based upon a combination of boundary integral equation approach, asymptotic analysis, and the Gohberg-Sigal theory will be developed for characterization of spectral sensitivity when plasmonic nanoholes are used in biochemical sensing. In addition, in order to accelerate the solution of related inverse spectral problems, efficient finite element-boundary integral equation eigensolvers will be designed to address the significant computational challenges brought by multiscale nature of the underlying problems. Finally, motivated by the studies of plasmonic nanohole resonances, the PI proposes a new super-resolution imaging modality by using illumination pattern generated from a collection of subwavelength hole resonantors. The new illumination pattern allows for probing the high spatial frequency component of the imaging sample in order to break the diffraction limit. In this regard, the PI will investigate the mathematical modeling, and develop deconvolution and optimization type numerical approaches for the corresponding inverse problems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1137/22m1505116
发表时间: 2022-06
期刊: SIAM J. Appl. Math.
影响因子: --
作者: [Wei Li;Junshan Lin;Haifeng Zhang]
通讯作者: Wei Li;Junshan Lin;Haifeng Zhang
DOI: 10.1007/s42985-021-00111-w
发表时间: 2021
期刊: SN Partial Differential Equations and Applications
影响因子: --
作者: [Fatima, Maryam, Lin, Junshan.]
通讯作者: Lin, Junshan.
Sensitivity of resonance frequency in the detection of thin layer using nano-slit structures
使用纳米狭缝结构检测薄层时共振频率的灵敏度
DOI: 10.1093/imamat/hxaa041
发表时间: 2020
期刊: IMA Journal of Applied Mathematics
影响因子: 1.2
作者: [Lin, Junshan, Oh, Sang-Hyun, Zhang, Hai]
通讯作者: Zhang, Hai
DOI: 10.1088/1751-8121/aca9a5
发表时间: 2021-01
期刊: Journal of Physics A: Mathematical and Theoretical
影响因子: --
作者: [Junshan Lin;Hai Zhang]
通讯作者: Junshan Lin;Hai Zhang
8
    Conference: Mathematical Methods for Novel Metamaterials
    • 批准号:
      2328600
    • 项目类别:
      Standard Grant
    • 资助金额:
      $3.81万
    • 财政年份:
      2024
    • 负责人:
      Junshan Lin
    • 依托单位:
    OP: Scattering and Imaging of Subwavelength Nanostructures: Asymptotics and Algorithms
    • 批准号:
      1719851
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $23.6万
    • 财政年份:
      2017
    • 负责人:
      Junshan Lin
    • 依托单位:
    Modeling and Computation in Elastography
    • 批准号:
      1417676
    • 项目类别:
      Standard Grant
    • 资助金额:
      $14.48万
    • 财政年份:
      2014
    • 负责人:
      Junshan Lin
    • 依托单位:
    国内基金
    海外基金
    Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      160万元
    • 批准年份:
      2022
    • 负责人:
      李忠平
    • 依托单位:
    A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      20万元
    • 批准年份:
      2020
    • 负责人:
      SAGAR RIZWAN UR REHMAN
    • 依托单位:
    病原菌群体感应监管(policing quorum sensing)的生理生态机理及分子调控机制
    • 批准号:
      31570490
    • 项目类别:
      面上项目
    • 资助金额:
      63.0万元
    • 批准年份:
      2015
    • 负责人:
      汪美贞
    • 依托单位:
    基于Compressive sensing理论的单探测器太赫兹成像技术
    • 批准号:
      60977009
    • 项目类别:
      面上项目
    • 资助金额:
      32.0万元
    • 批准年份:
      2009
    • 负责人:
      王民钢
    • 依托单位: