IGERT: Modeling Complex Systems - The Scientific Basis of Coupling Multi-Physics Models at Different Scales

IGERT：复杂系统建模 - 不同尺度下多物理模型耦合的科学基础

• 批准号: 0801471
• 负责人: Lori Graham-Brady
• 金额: $ 300万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0801471&HistoricalAwards=false
• 关键词: IGERT; Modeling; Complex; Systems; Scientific

The need for accurate computational models for systems such as turbulent transport, mechanics of complex structures, and global climate change have far outpaced the growth of computing power, requiring the development of new approaches. This Integrative Graduate Education and Research Traineeship (IGERT) award will address this challenge through graduate research and training in a unified setting of science-based coupling of models across scales and disciplines. Specifically, the focus will be on tools used to describe phenomena that are not fully calculable in models using fundamental scientific principles. A large body of literature exists describing parameterized descriptions applied to specific physical processes. However, little knowledge is available on general cross-application guiding principles for science-based parameterization. The goal of this work is to develop science-based model coupling as a roadmap to guide the practice of computational modeling in science and engineering. The education plan will train a cadre of Ph.D. students who will lead the application of these techniques in industry, academia and national laboratories. Four education and training goals will be addressed: (1) Enable students to work in a multi-disciplinary setting; (2) Develop students to be leaders in science and engineering; (3) Establish and maintain a career-long network for students; (4) Expand the U.S. Ph.D. student base by targeting students at women?s colleges and universities with a large percentage of first-generation college students. Every member of society is affected by decisions or predictions based on computational simulations of critical processes, such as energy production, environmental protection, and infrastructural integrity. The research conducted through the proposed IGERT will address these important problems by providing new paradigms for computational modeling. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.

对湍流传输、复杂结构力学和全球气候变化等系统的精确计算模型的需求远远超过了计算能力的增长，需要开发新的方法。这一综合性研究生教育和研究培训奖(IGERT)将通过研究生研究和培训来应对这一挑战，在统一的基于科学的跨规模和跨学科模型耦合的背景下进行培训。具体地说，重点将放在用于描述在使用基本科学原理的模型中无法完全计算的现象的工具上。大量文献描述了应用于特定物理过程的参数描述。然而，关于以科学为基础的参数化的一般交叉应用指导原则的知识很少。这项工作的目标是发展以科学为基础的模型耦合，作为指导科学和工程中计算建模实践的路线图。该教育计划将培养一批博士生，他们将领导这些技术在工业、学术界和国家实验室的应用。将实现四个教育和培训目标：(1)使学生能够在多学科环境中工作；(2)将学生培养成科学和工程领域的领导者；(3)为学生建立和维护一个长期的职业网络；(4)通过面向女性-S学院和大学的第一代大学生比例较大的学生来扩大美国博士生基础。每个社会成员都受到基于对关键过程的计算模拟的决策或预测的影响，如能源生产、环境保护和基础设施完整性。通过拟议的IGERT进行的研究将通过为计算建模提供新的范例来解决这些重要问题。IGERT是一个NSF范围内的项目，旨在应对培养具有跨学科背景、所选学科的深厚知识以及满足未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在通过建立创新的研究生教育和培训新模式，在超越传统学科界限的合作研究的肥沃环境中，催化研究生教育的文化变革。