Waves and Resonance in Photonic Structures
光子结构中的波和共振
基本信息
- 批准号:0807325
- 负责人:
- 金额:$ 21.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-15 至 2011-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research supported with this award will develop the mathematical foundations of the physical phenomena that drive the functionality of photonic devices. Specific objectives include the development of (1) models, for example in slab structures, that allow a prediction of detailed outcomes of resonant electromagnetic scattering behavior based on certain measurable data for the device, (2) algorithms for optimization of certain output of devices, as the energy transmission or density of photonic states, and (3) exploration of new directions, in particular, waves in composite materials with negative-index components. These problems will be approached with rigorous mathematical methods, including perturbation theory, the theory of partial differential equations, homogenization, and complex function theory.The research funded by this award is inspired by topical problems and challenges arising in the engineering and fabrication of existing and future opto-electronic devices, including imaging devices, lasers, and antennas. Many of the problems deal with physical phenomena that have been known for over a hundred years but which, because of recent recognition of the potential of photonic crystals and related structures to control the path of light, manifest themselves in new and largely unexplored ways. Other problems are concerned with the development of novel materials, or meta-materials, which have the capacity to maneuver electricity and magnetism in ways that cannot be achieved using naturally-occuring materials. The involvement of graduate students in the research agenda is an integral part of the project. Three students will be supported as research assistants as they are trained for careers in mathematical research. An undergraduate student mentored by the PI is involved as well in the investigations pertaining to meta-materials. The investigations will be strengthened and enriched through the PI's collaboration with scientists in the Physics and Electrical Engineering Departments at LSU, as well as with colleagues affiliated with the Center for Computation and Technology at LSU.
该奖项支持的研究将发展驱动光子设备功能的物理现象的数学基础。具体目标包括开发(1)模型,例如在平板结构中,允许根据设备的某些可测量数据预测共振电磁散射行为的详细结果,(2)用于优化设备的某些输出的算法,如光子状态的能量传输或密度,以及(3)探索新的方向,尤其是具有负折射率成分的复合材料中的波。这些问题将用严格的数学方法来解决,包括微扰理论、偏微分方程组理论、齐次化理论和复变函数理论。该奖项资助的研究是受到现有和未来光电设备(包括成像设备、激光和天线)的工程和制造中出现的热点问题和挑战的启发。许多问题涉及已知了一百多年的物理现象,但由于最近人们认识到光子晶体和相关结构控制光路的潜力,这些现象以新的、基本上未被探索的方式显现出来。其他问题与新材料或超材料的开发有关,这种材料具有以自然材料无法实现的方式操纵电和磁的能力。研究生参与研究议程是该项目不可或缺的一部分。三名学生将作为研究助理得到支持,因为他们接受了数学研究职业的培训。由PI指导的一名本科生也参与了与超材料有关的调查。通过与路易斯安那州立大学物理系和电气工程系的科学家以及路易斯安那州立大学计算与技术中心的同事合作,国际和平研究所将加强和丰富这些研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Stephen Shipman其他文献
Stephen Shipman的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Stephen Shipman', 18)}}的其他基金
Collaborative Research: Optimal Design of Responsive Materials and Structures
合作研究:响应材料和结构的优化设计
- 批准号:
2009303 - 财政年份:2020
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
Asymmetry, Embedded Eigenvalues, and Resonance for Differential Operators
微分算子的不对称性、嵌入特征值和共振
- 批准号:
1814902 - 财政年份:2018
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
Resonance Phenomena in Wave Scattering
波散射中的共振现象
- 批准号:
1411393 - 财政年份:2014
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
Electromagnetic Resonance in Periodic Structures
周期性结构中的电磁共振
- 批准号:
0505833 - 财政年份:2005
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
相似海外基金
A national network for magnetic resonance spectroscopy
国家磁共振波谱网络
- 批准号:
LE240100050 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Linkage Infrastructure, Equipment and Facilities
RII Track-4:NSF: Resistively-Detected Electron Spin Resonance in Multilayer Graphene
RII Track-4:NSF:多层石墨烯中电阻检测的电子自旋共振
- 批准号:
2327206 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
Deciphering the Competing Mechanisms of Li Microstructure Formation in Solid Electrolytes with Nuclear Magnetic Resonance Spectroscopy (NMR) and Imaging (MRI)
利用核磁共振波谱 (NMR) 和成像 (MRI) 解读固体电解质中锂微结构形成的竞争机制
- 批准号:
2319151 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Continuing Grant
TrustMRI: Trustworthy and Robust Magnetic Resonance Image Reconstruction with Uncertainty Modelling and Deep Learning
TrustMRI:利用不确定性建模和深度学习进行可靠且鲁棒的磁共振图像重建
- 批准号:
EP/X039277/1 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Research Grant
CAREER: Safe Continuum Robot Inside Magnetic Resonance Imaging (MRI)
职业:磁共振成像 (MRI) 内的安全连续体机器人
- 批准号:
2339202 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Standard Grant
Protein Structure and Dynamics by Electron/Nuclear Paramagnetic Resonance
通过电子/核顺磁共振研究蛋白质结构和动力学
- 批准号:
DP240100273 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Discovery Projects
Magnetic resonance imaging studies of catalytic monoliths
催化整体的磁共振成像研究
- 批准号:
2905857 - 财政年份:2024
- 资助金额:
$ 21.81万 - 项目类别:
Studentship
V-LF-Spiro3D: Low-field 3D magnetic resonance spirometry for advanced regional exploration of respiratory diseases
V-LF-Spiro3D:低场 3D 磁共振肺量计,用于呼吸系统疾病的高级区域探索
- 批准号:
10063498 - 财政年份:2023
- 资助金额:
$ 21.81万 - 项目类别:
EU-Funded
129Xe Magenetic Resonance Imagind-based Phenotypes of Long COVID: A multi-center Evaluation
基于 129Xe 磁共振成像的 Long COVID 表型:多中心评估
- 批准号:
480730 - 财政年份:2023
- 资助金额:
$ 21.81万 - 项目类别:
Magnetic Resonance Imaging (MRI) and Artificial Intelligence (AI) can improve preoperative malignancy risk prediction of ovarian masses.
磁共振成像(MRI)和人工智能(AI)可以改善卵巢肿块的术前恶性肿瘤风险预测。
- 批准号:
486885 - 财政年份:2023
- 资助金额:
$ 21.81万 - 项目类别:
Operating Grants