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Numerical Methods for Wave Propagations in Inhomogeneous Media

Numerical Methods for Wave Propagations in Inhomogeneous Media
非均匀介质中波传播的数值方法
批准号:
1005441
负责人:
Wei Cai
金额:
$20.0万
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:
2010-09-15 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
在这项提议中,PI将开发数值方法及其数学分析,最终实现在研究纳米电子、量子点耦合阵列和光刻相移掩模中的波现象。经典电磁波和量子波的传播在这些物理和工程系统中起着关键作用。为了对这些系统中的波动现象有一个定量的了解,需要准确有效的数值模拟和适当设计的数值算法。有针对性的应用推动了我们的研究,提出了以下三种数值方法:[1]求解纳米电子电子输运中Wigner方程的自适应守恒胞格平均谱方法;[2]求解层状介质中三维量子点中量子波散射的快速积分求解器[3]基于本征振荡的复亥姆霍兹方程的并行谱元方法。这项研究的潜在技术影响是了解所涉及的物理,并为纳米电子设备(如纳米MOSFET、相移掩模和量子点)提供设计指南。本研究开发的数值方法将用于量子器件的工程设计,对保持美国在新的VLSI微芯片开发中的技术领先地位,以及在微芯片制造中的下一代X射线光刻技术具有重要影响。此外,该项目培训的研究生将在竞争激烈的高科技就业市场提供熟练的劳动力,以及潜在的学术研究人员。
英文摘要
In this proposal, the PI will develop numerical methods and their mathematical analysis, ultimately their implementations in studying wave phenomena in nano-electronics, coupled arrays of quantum dots, and phase shift masks in lithography. Propagation of classical electromagnetic and quantum waves plays a key role in these physical and engineering systems. In order to gain a quantitative understanding of the wave phenomena in those systems, accurate and efficient numerical simulations are needed with appropriately designed numerical algorithms. The targeted applications motivate our research with the following three proposed numerical methods: [1] An adaptive conservative cell average spectral method for Wigner equations in electron transport of nano-electronics; [2] A fast integral solver for quantum wave scattering in 3-D quantum dots in layered media [3] A parallel spectral element method based on eigen-oscillations for complex Helmholtz equations. The potential technology impact of this research is to understand the physics involved and provide design guidelines for nano-electronics such as nano-MOSFETs, phase shift masks, and quantum dots. The numerical methods developed in this research will be used for the engineering design of quantum devices with significant impact on maintaining US technology preeminence in the development of new VLSI microchips, and next generation X-ray lithography in microchip manufacturing. Also, graduate students trained in this project will provide skilled workforce in the competitive high technology job market as well as potential academic researchers.
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Deep Neural Network Machine Learning for Oscillatory Navier-Stokes Flows and Nonlinear Operators, and High Dimensional Fokker-Planck Equations
  • 批准号:
    2207449
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.88万
  • 财政年份:
    2022
  • 负责人:
    Wei Cai
  • 依托单位:
Collaborative Research: DMREF: Developing Damage Resistant Materials for Hydrogen Storage and Large-scale Transport
  • 批准号:
    2118522
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2021
  • 负责人:
    Wei Cai
  • 依托单位:
Collaborative Research: Multi-Scale Modeling and Numerical Methods for Charge Transport in Ion Channels
  • 批准号:
    1950471
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $16.0万
  • 财政年份:
    2020
  • 负责人:
    Wei Cai
  • 依托单位:
High Order and Efficient Numerical Methods for Simulating Electromagnetic Phenomena
  • 批准号:
    1802143
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.92万
  • 财政年份:
    2017
  • 负责人:
    Wei Cai
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data