FRG: Collaborative Research: Modeling, Computation, and Analysis of Optical Responses of Nano Structures
FRG: Collaborative Research: Modeling, Computation, and Analysis of Optical Responses of Nano Structures
批准号:
0968360
负责人:
Di Liu
金额:
$90.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-06-01 至 2015-12-31
中文摘要
跨学科的FRG团队将开发数学技术和计算方法,用于最近的科学和工业应用所激发的纳米结构的光物质相互作用。将研究多物理场建模、多尺度模拟以及耦合麦克斯韦和薛定谔方程的数学分析等关键问题。我们提出的数学建模技术和计算方法将解决应用数学中的关键科学挑战,包括多物理建模,多尺度计算,密度泛函理论,麦克斯韦方程的有效数值解,以及相关的新的非线性偏微分方程模型的适定性。将开发用于模拟和优化纳米光子结构的计算电磁学的先进工具,特别关注那些能够实现多物理和多尺度计算的工具。最初的努力将是针对开发工具,使动态调制的光子结构,有一个关键的需要,以克服电子和光学过程之间的大时间尺度分离所造成的数值挑战的有效模拟。这方面的发展将直接有助于提高光信息处理应用的速度和降低能耗。该联邦德国的合作伙伴将开展合作,使多物理场模拟应用于传感或能量转换等实用技术的影响。控制光的能力对于现代社会的许多方面都是至关重要的,并且在诸如能源、传感和信息技术等关键领域中具有应用。纳米光子结构的使用,其中单个结构处于纳米级,是我们寻求控制光的最前沿。纳米光学是一项基础性的、蓬勃发展的技术,具有多种应用,包括快速光学开关、等离子体材料、光子纳米电路、光学显微镜、拉曼光谱和光学超材料。最近的高性能计算设备和现代光刻技术的使能技术已经导致了亚波长和纳米结构的应用的大幅激增,建立纳米光学作为当前光学科学研究中最快速发展的领域之一。当光场遇到纳米结构时遇到的一个巨大挑战是尺度上的根本不匹配,这引起了传统光学中没有遇到的现象,并在与这种结构的相互作用中提出了挑战。纳米光学的未来发展将明显受益于有效的计算建模工具和数学分析技术的可用性。该计划中开发的计算工具将使我们能够更好地理解和设计这些结构,可能导致更快的信息处理设备,消耗更少的功率,具有更高灵敏度的传感器和具有更好转换效率的太阳能电池。
英文摘要
The interdisciplinary FRG team will develop mathematical techniques and computational methods for the light-matter interactions for nanoscale structures motivated by recent scientic and industrial applications. Critical issues on multi-physics modeling, multi-scale simulations as well as mathematical analysis of the coupled Maxwell and Schrodinger equations will be investigated. Our proposed mathematical modeling techniques and computational methods will address key scientific challenges in applied mathematics including multi-physics modeling, multi-scale computation, density functional theory, efficient numerical solution of Maxwell's equations, and well-posedness of the associated new nonlinear PDE models. Advanced tools in computational electromagnetics for simulations and optimizations of nanophotonic structures will be developed, with a specific focus on those tools that enable multi-physics and multi-scale computations. The initial efforts will be directed towards developing tools that enable efficient simulations of dynamically modulated photonic structures, where there is a critical need to overcome the numerical challenges resulting from the large time-scale separations between the electronic and the optical processes. The development here will contribute directly to increasing speed and reducing energy consumption in optical information processing applications. Partners in this FRG will collaborate to enable the applications of multi-physics simulations towards impacts in practical technologies such as sensing or energy conversion. The capabilities for controlling light are of paramount importances for many aspects of modern society, and have applications in critical areas such as energy, sensing and information technology. The use of nanophotonic structures, where individual structure is at the nanoscale, is at the very forefront in our quest to control light. Nano-optics is a fundamental and vigorously growing technology with diverse applications including fast optical switches, plasmonic materials, photonic nanocircuits, optical microscopy, Ramam spectroscopy, and optical metamaterials. The recent enabling technologies of high-performance computing facilities and modern lithographic techniques have led to a substantial surge of applications of subwavelength and nano structures, establishing nano-optics as one of the most rapidly advancing areas of current research in optical science. A grand challenge encountered when optical fields meet nano structures is a fundamental mismatch in scales, which gives rise to phenomena not encountered in conventional optics and presents a challenge in interacting with such structures. The future development of nano-optics will clearly benefit from the availability of an efficient computational modeling tool and mathematical analysis techniques. The computational tools developed in this program will allow us to better understand and design these structures, potentially leading to faster information processing devices that consume less power, sensors with higher sensitivity, and solar cells with better conversion efficiency.
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会议论文
Multiscale Modeling and Computation of Nano-Optics
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批准号:1720002
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项目类别:Standard Grant
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资助金额:$14.8万
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财政年份:2017
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负责人:Di Liu
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依托单位:
Numerical Methods for Multiscale Modeling of Nano-Optics
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批准号:1418959
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项目类别:Continuing Grant
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资助金额:$28.0万
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财政年份:2014
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负责人:Di Liu
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依托单位:
Mathematics and Computation of Nonlinear Problems in Diffractive Optics Modeling
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批准号:1211292
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项目类别:Standard Grant
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资助金额:$26.0万
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财政年份:2012
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负责人:Di Liu
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依托单位:
International Conference on Interdisciplinary Applied and Computational Mathematics
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批准号:1129181
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项目类别:Standard Grant
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资助金额:$3.8万
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财政年份:2011
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负责人:Di Liu
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依托单位:
CAREER: Modeling, Analysis and Computation of Stochastic Intracellular Reactions
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批准号:0845061
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项目类别:Standard Grant
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资助金额:$41.0万
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财政年份:2009
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负责人:Di Liu
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依托单位:
AMC-SS: Analysis and Computation of Multi-Scale Stochastic Chemical Kinetic Systems with Application to Genetic Regulatory Networks
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批准号:0609315
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项目类别:Standard Grant
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资助金额:$10.12万
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财政年份:2006
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负责人:Di Liu
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依托单位:
海外基金