FRG: Collaborative Research: Modeling and Computation of Crystalline Nanostructures

FRG:合作研究:晶体纳米结构的建模和计算

基本信息

  • 批准号:
    0854920
  • 负责人:
  • 金额:
    $ 21.14万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2014-06-30
  • 项目状态:
    已结题

项目摘要

This project is aimed at advancing the state of the art for simulating nanocrystalline materials. A common technique to manufacture such materials is depositing a monocrystalline film on a monocrystalline substrate of a different composition (heteroepitaxy); in the process elastic interactions are very important. The project will develop highly efficient computational tools by combining continuum mechanics to handle long-range elastic interactions with kinetic Monte Carlo (KMC) simulations that can accurately describe transport kinetics at the atomic level. The methods developed will be broadly applicable, but the immediate focus is on quantum dot nano-structures. Three different approaches will be used to accomplish this task. One of these will use KMC to deduce various parameters used in continuum models. Another approach will be based on a new formulation of KMC which can be shown, using statistical mechanics, to be connected with the chemical potential. This will allow a fairly seamless connection between our KMC formulation and continuum mechanics. We can exploit this connection to use KMC on small, well separated regions and then combine these regions together using macroscopic variables, such as atomic flux and elastic displacement fields. Another approach is to perform KMC everywhere but using coarse-grained continuum fields that are updated on a macroscopic time scale.Nanocrystalline materials have shown great promise for many applications such as solid state lasers, memory devices, and photovoltaic cells. It is anticipated that the modeling and computation methods developed in this research will pave the way for performing device level simulations and provide valuable guidance in the interpretation of experimental measurements for strained alloy systems. Our group has close ties with experimental groups based in the semiconductor industry and academia, which will allow us to assess our modeling progress.
该项目旨在推进模拟纳米晶体材料的最新技术。制造这种材料的一种常见技术是在不同成分的单晶衬底上沉积单晶薄膜(异质外延);在这个过程中,弹性相互作用是非常重要的。该项目将开发高效的计算工具,通过将连续介质力学与动力学蒙特卡罗(KMC)模拟相结合来处理远程弹性相互作用,KMC模拟可以在原子水平上准确地描述输运动力学。所开发的方法将广泛适用,但目前的重点是量子点纳米结构。将使用三种不同的方法来完成这项任务。其中之一将使用KMC来推导连续介质模型中使用的各种参数。另一种方法将基于一种新的KMC公式,使用统计力学可以证明该公式与化学势有关。这将允许我们的KMC公式和连续介质力学之间相当无缝的连接。我们可以利用这种联系,在较小的、分离良好的区域使用KMC,然后使用宏观变量将这些区域组合在一起,例如原子通量和弹性位移场。另一种方法是在任何地方进行KMC,但使用在宏观时间尺度上更新的粗晶连续场。纳米晶材料在许多方面显示出巨大的应用前景,如固体激光器、存储器件和光伏电池。预计本研究开发的建模和计算方法将为进行器件级模拟铺平道路,并为解释应变合金系统的实验测量提供有价值的指导。我们的小组与半导体行业和学术界的实验小组有密切的联系,这将使我们能够评估我们的建模进展。

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 }}

Timothy Schulze其他文献

Timothy Schulze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('Timothy Schulze', 18)}}的其他基金

Kinetic Monte Carlo Simulation of Nanoalloy Crystal Growth
纳米合金晶体生长的动力学蒙特卡罗模拟
  • 批准号:
    1613729
  • 财政年份:
    2016
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
Kinetic Monte Carlo Modeling and Simulation of Phase Boundaries and Polycrystals
相界和多晶的动力学蒙特卡罗建模与仿真
  • 批准号:
    1108643
  • 财政年份:
    2011
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
Fast Kinetic Monte Carlo Simulation of Crystal Growth and Evolution
晶体生长和演化的快速动力学蒙特卡罗模拟
  • 批准号:
    0707443
  • 财政年份:
    2007
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
Multi-Scale Modeling and Simulation in Materials Science
材料科学中的多尺度建模与仿真
  • 批准号:
    0650445
  • 财政年份:
    2007
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
The mushy-zone free-boundary problem
糊状区域自由边界问题
  • 批准号:
    0405650
  • 财政年份:
    2004
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
Modeling, Simulation and Analysis of Epitaxial Film Growth
外延膜生长的建模、仿真和分析
  • 批准号:
    0103825
  • 财政年份:
    2001
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
NSF-NATO POSTDOCTORAL FELLOWSHIP
NSF-北约博士后奖学金
  • 批准号:
    9552797
  • 财政年份:
    1995
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Fellowship Award

相似海外基金

FRG: Collaborative Research: New birational invariants
FRG:协作研究:新的双有理不变量
  • 批准号:
    2244978
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
  • 批准号:
    2245017
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
  • 批准号:
    2245111
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
  • 批准号:
    2245077
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
  • 批准号:
    2244879
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: New Birational Invariants
FRG:合作研究:新的双理性不变量
  • 批准号:
    2245171
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
  • 批准号:
    2403764
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
  • 批准号:
    2245021
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
  • 批准号:
    2245097
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
  • 批准号:
    2245147
  • 财政年份:
    2023
  • 资助金额:
    $ 21.14万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了