Adaptive Multimodel Simulation for Engineering Innovation

这项研究资助的目的是开发和演示一个多模型仿真基础设施，以支持强大的多尺度仿真的方式，跨多个尺度的设计决策可以有效地执行。 物理和生物科学的进步使得人们有可能理解原子、分子、微观和宏观尺度上的时空现象。为了利用这些进步，工程设计过程必须依赖于采用多个物理尺度上的耦合模型的模拟。将开发可互操作的组件，以支持全方位的自适应模型选择、比例链接和离散化控制技术。通过自适应模型和离散化控制，开发的方法将大大提高多尺度模拟和设计过程的可靠性。新的并行处理方法，采用多级动态负载平衡将被开发，以支持自动自适应多尺度模拟所需的计算。如果成功，这项研究将产生计算技术的核心，使多尺度建模和模拟应用于从基本的纳米和生物技术研究到新产品和医疗工程的应用。重点将放在这些技术如何能够提高在纳米电子学和在人体动脉系统中使用人造组织替代品等领域进行稳健的多尺度设计的能力。与DOE实验室，其他大学和行业的合作将支持在选定的设计应用程序上开发的多尺度仿真技术的演示，这些应用程序可以过渡到实践。基于过去和现在的努力，我们完全期望开发的方法将被集成到未来的计算机辅助工程软件系统中使用的行业。 此外，研究将通过会议介绍和期刊文章广泛传播。

The objective of this research grant is to develop and demonstrate a multimodel simulation infrastructure to support robust multiscale simulations in a manner in which design decisions across multiple scales can be effectively executed. Advances in physical and biological sciences have made it possible to understand spatial and temporal phenomena on the atomic, molecular, microscopic, and macroscopic scales. To take advantage of these advances, engineering design processes must rely on simulations that employ coupled models acting over multiple physical scales. Interoperable components will be developed that support a full range of adaptive model selection, scale linking and discretization control techniques. The methods to be developed will dramatically increase the reliability of multiscale simulations and design processes through adaptive model and discretization control. New parallel processing methods that employ multilevel dynamic load balancing will be developed to support the computations needed for automated adaptive multiscale simulation. If successful, this research will produce computational technologies central to enabling multiscale modeling and simulation to be applied to applications ranging from basic nano- and bio-technology investigations, to the engineering of new products and medical treatments. Emphasis will be placed on how these technologies can advance the ability to perform robust multiscale design in areas as diverse of nano-electronics and the use of manufactured tissue replacements in the human arterial system. Collaborations with DOE laboratories, other universities and industry will support the demonstration of the multiscale simulation technologies developed on selected design applications that can be transitioned to practice. Based on past and present efforts, we fully expect that methods developed will be integrated into future computer-aided engineering software systems used by industry. Further, the research will be widely disseminated through conference presentations and journal articles.