课题基金 / 基金详情

SGER: Green's Function-Based Multiscale Modeling of the Micro- and Nanomechanics of Defects in Multilayer Heterostructures

SGER: Green's Function-Based Multiscale Modeling of the Micro- and Nanomechanics of Defects in Multilayer Heterostructures
SGER:基于格林函数的多层异质结构缺陷微观和纳米力学多尺度建模
批准号:
0723486
负责人:
Bo Yang
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-07-01 至 2008-12-31

项目摘要

项目成果

Bo Yang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
This SGER project aims to develop elegant multiscale modeling as well as continuum modeling techniques of defects and to investigate defect behaviors in multilayer heterostructures. Multilayer heterostructures are used as the base structure in many advanced electronic/optoelectronic devices as well as used for protective coating, thermal barrier and body armor. A three-dimensional analysis of stress and defect cores in such a structure of material heterogeneity, high aspect ratio and defect singularities poses a great challenge to the community of computational sciences and engineering. This project takes a Green's function (GF) approach to attack the difficulty of modeling multilayer heterostructures by hierarchically including the planar-layer feature in the reference GF that can be solved semi-analytically on the continuum level. Based on this multilayer matrix, defects are introduced. In this way, the problem of defects in multilayer heterostructures is reduced to numerically treating only the localized defects. Furthermore, the lattice GF (LGF) of multilayer heterostructures is derived based on the continuum GF (CGF) by realizing the asymptotic approach of the former to the latter at the long-wavelength limit. The LGF and CGF in combination facilitate a powerful mathematical tool for efficient and accurate solution of defect problems in multilayer heterostructures. Nonlinear effect in the core of a defect is taken into consideration in an iterative scheme. This project will establish a powerful computational tool that can lead to a profound understanding of the defect mechanics and dynamics on both continuum and lattice scales and in between. This will establish a framework for prediction of defect behaviors that can be used to predict service lives of devices and to tailor-make novel materials with desired nanostructures, and for prevention of defect problems that can improve device performances. The results of the research will be incorporated in and will impact the Computational Mechanics courses that the PI has been teaching and the micro/nanomechanics courses that he has been developing. It will introduce the students to the novel computational tools (i.e., multiscale modeling) in particular and draw their interest in the emerging nanotechnology in general. The research project will involve a graduate student, who will be trained in this multidisciplinary field of Applied Mechanics, Materials Science, and Solid State Physics. Thus, the project contributes to the NSF goal in development of a new generation of capable workers who have knowledge and skills necessary for rapid progress in the emerging nanotechnology. Furthermore, the PI will closely collaborate with scientists at NIST through this project. He will post developed computer codes with user-friendly interface on the NSF/NIST Digital Library of Green's Functions website: http://www.ctcms.nist.gov/gf/ for public access. This will expand the broader impact of this project to enhance the strength of the US industry and to promote the use of GF-based computational tools in the research society.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Building a STEM research and education network of GIS and drone mapping for coastal seagrass monitoring
国内基金
海外基金
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
大豆Stay-Green基因启动子的自然变异调控叶片衰老的分子机制解析及其高产潜能发掘
船舶水弹性响应的Rankine-Green混合源时域匹配方法研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    焦甲龙
  • 依托单位:
两种生态型羊草不同滞绿(Stay-green)特性的机理研究
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    35万元
  • 批准年份:
    2020
  • 负责人:
    张林刚
  • 依托单位: