SIMULATION

模拟

• 批准号: 8363712
• 负责人: Rob S. MacLeod
• 金额: $ 19.24万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363712
• 关键词: Algorithms; Behavior; Biomedical Computing; Chemicals; Complex; Computer Hardware; Computer Simulation; Computer software; Data Set; Drug Formulations; Elements; Engineering; Equation; Face; Funding; Goals; Grant; Lead; Link; Mathematical Computing; Mathematics; Methods; Modern 1601-history; National Center for Research Resources; Organ; Pathway interactions; Planets; Principal Investigator; Research; Research Infrastructure; Research Personnel; Resources; Scientist; Software Tools; Software Validation; Source; Structure; Tissues; United States National Institutes of Health; Validation; base; behavior prediction; biological systems; biomedical scientist; cell behavior; cost; design; flexibility; novel; response; scientific computing; simulation; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Background: In the context of the CIBC, simulation is defined as the prediction of the behavior of cells, tissues, and organs under simplifying assumptions over known anatomical domains in response to pre-determined boundary or initial conditions. The overall goal of the CIBC, according to this definition, is to provide biomedical scientists with access to comprehensive and sophisticated software tools with which to define the assumptions, the domains, and the initial or boundary conditions and, then, to carry out simulations using advanced and robust numerical and computation algorithms. Rationale: A natural synergy exists between simulation and the other faces of scientific computing that remains a core element of the goals and progress of the CIBC. Although computer based simulation has a relatively modern history, the basic elements of simulation are as old as mathematics. Predicting the trajectory of a cannonball or the pathways of the planets both make use of the two essential elements of simulation: mathematical equations that describe behavior and a means to solve those equations under realistic conditions. The need to solve equations complex enough to predict the behavior of physical, chemical, or biological systems has further linked the progress in simulation to advances in numerical mathematics and computing and, hence, to the dramatic improvements in computer hardware and software. Questions: To be useful for estimation, simulation formulations should be mathematically invertible and lead to unique answers. In some cases, however, unique inversion may be theoretically possible but not numerically stable if the resulting problem is physically ill- posed and the resulting numerical simulation ill-conditioned. A goal throughout this TRD will be to formulate simulation approaches that not only solve the initial problem posed as a simulation, but formulate them, wherever possible, in a way that permits an effective associated estimation formulation. Design & Methods: Parallel to other TRDs, the specific methods of this proposal focus on three broad objectives. The first objective is to provide a set of software tools for constructing and executing simulations related mostly, but not exclusively, to bioelectric fields in the body. The second is to make these software tools available to scientists and engineers in a structure that is flexible, portable, and extensible enough to allow them to use existing tools and develop new ones based on their own expertise and novel ideas. The third objective is driven by the need of biomedical computational researchers for access to documented data sets for validation and efficient software for verification and sensitivity analysis.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 背景资料： 在CIBC的背景下，模拟被定义为对细胞行为的预测， 在已知解剖学领域的简化假设下， 对预先确定的边界或初始条件的响应。CIBC的总体目标是， 根据这一定义，是为生物医学科学家提供获取 全面和复杂的软件工具来定义假设， 域，以及初始或边界条件，然后使用 先进和强大的数值和计算算法。 基本原理： 在模拟和科学计算的其他方面之间存在着一种自然的协同作用 这仍然是CIBC目标和进展的核心要素。虽然计算机 基于仿真的历史相对较近，仿真的基本要素有 像数学一样古老。预测炮弹的轨迹或者 行星都利用模拟的两个基本要素：数学 描述行为的方程以及在现实条件下求解这些方程的方法 条件需要求解足够复杂的方程来预测 物理、化学或生物系统进一步将模拟的进展与 数字数学和计算的进步，因此，戏剧性的 计算机硬件和软件的改进。 问题： 为了便于估计，模拟公式应该在数学上可逆 并得出独特的答案。然而，在某些情况下，可能存在唯一的反转。 理论上可能，但如果由此产生的问题在物理上是不稳定的， 提出的和由此产生的数值模拟病态。贯穿本TRD的目标 将制定模拟方法，不仅解决最初提出的问题， 一个模拟，但制定他们，只要有可能，在某种程度上，允许有效的 相关估计公式。 设计方法（& M）： 与其他TRD类似，本建议的具体方法侧重于三大方面。 目标.第一个目标是提供一套软件工具， 执行主要但不排他地与体内生物电场相关的模拟。 第二个目标是让科学家和工程师能够以一种 灵活、便携和可扩展的结构，足以允许他们使用现有的 工具和开发新的基于自己的专业知识和新颖的想法。第三 目标是由生物医学计算研究人员的需要驱动的访问， 用于验证的记录数据集和用于验证和灵敏度的高效软件 分析.