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Phase Field Computational Methods for Materials Science Problems

Phase Field Computational Methods for Materials Science Problems
材料科学问题的相场计算方法
批准号:
RGPIN-2018-03863
负责人:
Wetton, Brian
金额:
$2.62万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

项目摘要

项目成果

Wetton, Brian的其他基金

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相关文献

中文摘要
翻译
Cahn-Hillard (CH)模型已经被物理和计算科学家以及数学分析师广泛研究。它是相分离与扩散混合竞争的一般材料科学模型。计算CH的研究涵盖了纯数值分析、高效方法实现以及材料科学和其他领域的应用。我的工作,无论是过去的还是提议的,都处于这一范围的中间,得到了两派同事的支持。我提出了三个相关的项目,它们将对更大的社区有价值。基准问题:在文献中,对隐式时间步进的优点和能量稳定方案的缺点存在系统性的误解。基本的竞争是在亚稳定动力学中全隐式格式的精度提高与能量稳定格式的计算效率之间的竞争,这些格式不准确,但只有简单的项(线性,常系数或凸)隐式处理。NIST发布了一个针对CH的基准问题,可以用来量化这两种方法的相对性能。我将开发和验证CH的进一步基准问题以及六阶功能化Cahn Hillard (FCH)和相场晶体模型的一些新问题。向量FCH方法:最近对向量FCH类型的模型很感兴趣。它们具有丰富的分岔结构,导致溶液形态的高度变化。它们可以模拟许多应用中的现象,包括溶剂中不同活性聚合物材料的相互作用。这些是高度非线性的六阶模型,因此计算困难。解决方案中空间和时间尺度的广泛范围使它们超出了标准计算包的范围。对于这些模型来说,完全隐式时间步进的精度是必要的,但求解所得到的非线性系统的计算复杂性是2D和3D计算的主要障碍。我将探讨提高这些解决方案性能的选项(稀疏、直接解决方案;完全非线性多网格;使用适当的策略迁移到更大规模的计算环境)。数值分析:我一直在与同事进行一类CH能量稳定方案及相关模型的数值分析。我的一个观察是,使用合适的自适应时间步进策略,完全隐式时间步进不会导致CH计算中的能量增加,只要时间步长被自适应地选择以匹配动力学的时间尺度。我将在提案中详细说明的一些渐近结果表明,这在亚稳态动力学的某些情况下是可以证明的,对于这种情况,精确的大时间步长是合适的。这将与学生程新宇一起工作,由李东共同指导。
英文摘要
The Cahn-Hillard (CH) model has been extensively studied by physical and computational scientists as well as mathematical analysts. It is a generic material science model of the competition between phase separation and diffusive mixing. Research on computational CH spans the spectrum of pure numerical analysis, efficient method implementation, and applications to materials science and other fields. My work, past and proposed, is in the middle of this spectrum, supported by colleagues on either side. I propose three related projects that would be of value to the larger community. Benchmark Problems: In the literature, there is a systemic misunderstanding of the advantages of implicit time stepping and the disadvantages of energy stable schemes. The fundamental competition is between the increased accuracy of fully implicit schemes in meta-stable dynamics and the computational efficiency of energy stable schemes, which are inaccurate but have only simple terms (linear, constant coefficient - or convex) handled implicitly. There is a benchmark problem for CH posted at NIST that can be used to quantify the relative performance of the two approaches. I will develop and validate further benchmark problems for CH and some novel ones for sixth order Functionalized Cahn Hillard (FCH) and phase field crystal models.Vector FCH method: There is recent interest in models of vector FCH type. These have a rich bifurcation structure and lead to highly varied solution morphology. They can model phenomena in many applications, including the interaction of different activated polymer materials in a solvent. These are highly nonlinear, sixth order models, hence computationally difficult. The wide range of spatial and temporal scales in the solutions put them out of reach for standard computational packages. The accuracy of fully implicit time stepping is necessary for these models, but it is the computational complexity of solving the resulting nonlinear system that is the main obstacle to well-resolved 2D and 3D computations. I will explore options to improve the performance of these solves (sparse, direct solution; fully nonlinear multi-grid; moving to a larger scale computational environment with an appropriate strategy). Numerical Analysis: I have been working with colleagues on the numerical analysis of a class of energy stable schemes for CH and related models. One my observations is that with suitable adaptive time stepping strategies, fully implicit time stepping does not lead to an increase in energy in CH computations provided time steps are chosen adaptively to match the time scale of the dynamics. Some asymptotic results, which I will detail in the proposal, suggest that this is provable in certain cases of metastable dynamics, for which accurate, large time steps are appropriate. This will be work with a student, Xinyu Cheng, jointly supervised by Dong Li.
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Phase Field Computational Methods for Materials Science Problems
  • 批准号:
    RGPIN-2018-03863
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2021
  • 负责人:
    Wetton, Brian
  • 依托单位:
Phase Field Computational Methods for Materials Science Problems
  • 批准号:
    RGPIN-2018-03863
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2020
  • 负责人:
    Wetton, Brian
  • 依托单位:
Phase Field Computational Methods for Materials Science Problems
  • 批准号:
    RGPIN-2018-03863
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2019
  • 负责人:
    Wetton, Brian
  • 依托单位:
Development of advanced mathematical modelling techniques and algorithms to enhance the performance of a lithium ion battery management system
  • 批准号:
    524101-2018
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Wetton, Brian
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位:
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
新型Field-SEA多尺度溶剂模型的开发与应用研究
  • 批准号:
    21506066
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2015
  • 负责人:
    李理波
  • 依托单位: