课题基金 / 基金详情

Collaborative Research: Fast High-Order Methods for Vesicle-Fluid and Membrane-Fluid Interaction and Adhesion

Collaborative Research: Fast High-Order Methods for Vesicle-Fluid and Membrane-Fluid Interaction and Adhesion
合作研究:囊泡-流体和膜-流体相互作用和粘附的快速高阶方法
批准号:
0612578
负责人:
George Biros
金额:
$10.58万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-15 至 2008-08-31

项目摘要

项目成果

George Biros的其他基金

相似基金

相关文献

中文摘要
翻译
研究人员开发了模拟不可压缩可变形膜与斯托克流体、其他膜和刚性壁相互作用的数值算法。这项工作的目标是实现由大量相互作用的囊泡组成的系统的高精度快速模拟。所研究的数值方法基于边界积分公式,该公式只使用在表面上定义的场,因此不需要对三维空间进行离散化,从而大大简化了可变形边界的模拟。由边界积分公式的离散化和线性化所产生的密集线性方程组,使用先前由研究人员开发的核无关快速多极算法的扩展来求解。工作包括两个主要方向:基于网格和局域谱基的建设性流形结构的可变形表面的离散化方案,边界积分和膜-流体相互作用的线性和非线性求解。研究人员的目标是创建有效的计算工具来解决各种生物和生物医学环境中出现的问题。潜在的应用包括血液流动中血细胞行为的模拟,流体中膜的形成以及基于囊泡的靶向药物递送机制的设计。针对此类问题的有效工具的开发使得测试涉及复杂边界,大量变形细胞或囊泡的场景成为可能。
英文摘要
The investigators develop numerical algorithms for simulation of incompressible deformable membranes interacting with Stokesian fluids, other membranes and rigid walls. The goal of this work is to enable high-accuracy fast simulations of systems consisting of large numbers of interacting vesicles. Investigated numerical methods are based on a boundary integral formulation which only uses fields defined on the surface and therefore eliminates the need for discretization of 3D space, which considerably simplifies simulation of deformable boundaries. The dense linear systems of equations resulting from discretization and linearization of the boundary integral formulation are solved using extensions of kernel-independent fast multipole algorithms previously developed by the investigators. The work includes two main directions: discretization schemes for deformable surfaces, based on constructive manifold structures on meshes and localized spectral bases, and boundary integral and membrane-fluid interaction linear and nonlinear solvers. The investigators aim to create efficient computational tools for solving problems arising in a variety of biological and biomedical contexts. Potential applications include simulation of blood cell behavior in blood flow, formation of membranes in a fluid and design of targeted drug delivery mechanisms based on vesicles. Development of efficient tools for such problems makes it possible to test scenarios involving complex boundaries, large numbers of deforming cells or vesicles.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CDS&E: AI-RHEO: Learning coarse-graining of complex fluids
  • 批准号:
    2204226
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.53万
  • 财政年份:
    2022
  • 负责人:
    George Biros
  • 依托单位:
SHF: Small: Algorithms and Software for Scalable Kernel Methods
  • 批准号:
    1817048
  • 项目类别:
    Standard Grant
  • 资助金额:
    $47.62万
  • 财政年份:
    2018
  • 负责人:
    George Biros
  • 依托单位:
SPX: CISIT: Computing In Situ and In Memory for Hierarchical Numerical Algorithms
  • 批准号:
    1725743
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.0万
  • 财政年份:
    2017
  • 负责人:
    George Biros
  • 依托单位:
XPS: DSD: A2MA - Algorithms and Architectures for Multiresolution Applications
  • 批准号:
    1337393
  • 项目类别:
    Standard Grant
  • 资助金额:
    $74.98万
  • 财政年份:
    2013
  • 负责人:
    George Biros
  • 依托单位:
国内基金
海外基金
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:
Cell Research
Cell Research
Cell Research (细胞研究)