CAREER: Robust and High-Performance Computational Methods for Simulating Metamaterial-Based Optical Devices
CAREER: Robust and High-Performance Computational Methods for Simulating Metamaterial-Based Optical Devices
批准号:
2045636
负责人:
Matthias Maier
金额:
$47.04万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-01 至 2026-08-31
中文摘要
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英文摘要
The project centers around the development of novel computational approaches to simulate metamaterial-based optical devices. Such optical geometries allow one to manipulate light on a microscopic scale. The project addresses a critical need for robust and controllable numerical schemes that can reliably describe the optical response of complex microscale geometries. The project will enable a broader scientific community to perform direct numerical simulations of optical devices and will help to bridge the gap between physical theory and optical device engineering. In addition to the dissemination of the research to the scientific community, the PI will present the work to students through the proposed educational agenda targeting the graduate and undergraduate curriculum offered in the Department of Mathematics at Texas A&M University: a research-integrated, project-based graduate-level course that bridges the gap between numerical analysis and interdisciplinary research; a project-centered collaborative research program for undergraduate students that highlights interdisciplinary research and applied computational mathematics; and an accompanying summer school. The educational program will teach core competences in computational sciences highlighting collaborative research and the multidisciplinary character of the computational sciences. Efforts will be made to attract female and minority students to these undergraduate activities and stimulate their interest in exciting new research topics in scientific computing and optics.Modern nanoscale optical devices are based on an intricate interplay of incident electromagnetic waves and the electron structure of the nanodevice. The research component of the proposal is organized around two complementary directions addressing a critical need for robust and controllable numerical schemes that can reliably describe the optical response of complex nanoscale geometries: (i) The first research direction is concerned with the development and analysis of computational methods for simulating time-harmonic non-local conductivity responses. (ii) The second research direction will focus on the development and analysis of highly scalable and distributed time-stepping methods that couple time-dependent Maxwell's equations with 2D evolution equations modeling a subscale conductivity response. In both directions the PI will connect the algorithmic and numerical development to interdisciplinary applications. The numerical and algorithmic development will be carried out alongside a number of research collaborations that are concerned about the design and simulation of nanoscale optical devices for modulation and control of the path of light, and the validation of fluid mechanical models for electron response against recent experimental results. All these projects depend on a strong computational component which current methods do not provide and which is not available commercially.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(7)
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科研奖励(0)
会议论文
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DOI:
10.4208/cicp.oa-2022-0205
发表时间:
2022
期刊:
Communications in Computational Physics
影响因子:
3.7
作者:
[Maier, Matthias, null, John N., Tomas, Ignacio]
通讯作者:
Tomas, Ignacio
On the implementation of a robust and efficient finite element-based parallel solver for the compressible Navier–Stokes equations
针对可压缩纳维斯托克斯方程实现鲁棒且高效的基于有限元的并行求解器
DOI:
10.1016/j.cma.2021.114250
发表时间:
2022
期刊:
Computer Methods in Applied Mechanics and Engineering
影响因子:
7.2
作者:
[Guermond, Jean-Luc, Kronbichler, Martin, Maier, Matthias, Popov, Bojan, Tomas, Ignacio]
通讯作者:
Tomas, Ignacio
DOI:
10.1098/rspa.2021.0609
发表时间:
2020-09
期刊:
Proceedings of the Royal Society A
影响因子:
--
作者:
[Wei Li;R. Lipton;Matthias Maier]
通讯作者:
Wei Li;R. Lipton;Matthias Maier
Efficient Parallel 3D Computation of the Compressible Euler Equations with an Invariant-domain Preserving Second-order Finite-element Scheme
具有不变域保留二阶有限元格式的可压缩欧拉方程的高效并行 3D 计算
DOI:
10.1145/3470637
发表时间:
2021
期刊:
ACM Transactions on Parallel Computing
影响因子:
1.6
作者:
[Maier, Matthias, Kronbichler, Martin]
通讯作者:
Kronbichler, Martin
Robust second-order approximation of the compressible Euler equations with an arbitrary equation of state
具有任意状态方程的可压缩欧拉方程的鲁棒二阶近似
DOI:
10.1016/j.jcp.2023.111926
发表时间:
2023
期刊:
Journal of Computational Physics
影响因子:
4.1
作者:
[Clayton, Bennett, Guermond, Jean-Luc, Maier, Matthias, Popov, Bojan, Tovar, Eric J.]
通讯作者:
Tovar, Eric J.
共 6 条
Efficient and Adaptive Methods for Simulating Multiscale Effects in Optical Metamaterials
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批准号:1912847
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项目类别:Standard Grant
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资助金额:$12.5万
-
财政年份:2019
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负责人:Matthias Maier
-
依托单位:
国内基金
海外基金
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供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
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批准号:70601028
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项目类别:青年科学基金项目
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资助金额:7.0万元
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批准年份:2006
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负责人:王明征
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依托单位:
心理紧张和应力影响下Robust语音识别方法研究
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批准号:60085001
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项目类别:专项基金项目
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资助金额:14.0万元
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批准年份:2000
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负责人:韩纪庆
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依托单位:
ROBUST语音识别方法的研究
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批准号:69075008
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项目类别:面上项目
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资助金额:3.5万元
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批准年份:1990
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负责人:高雨青
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依托单位:
改进型ROBUST序贯检测技术
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批准号:68671030
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项目类别:面上项目
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资助金额:2.0万元
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批准年份:1986
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负责人:刘有恒
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依托单位: