Conference: NSF Workshop on Crosscutting Research Needs for Digital Twins

会议：美国国家科学基金会数字孪生横切研究需求研讨会

• 批准号: 2335883
• 负责人: Karen Willcox
• 金额: $ 9.81万
• 依托单位: Santa Fe Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335883&HistoricalAwards=false
• 关键词: Conference; NSF; Workshop; Crosscutting; Research

This two-day workshop will identify research needs for digital twins. A digital twin is a set of digital constructs that mimic the structure, context, and behavior of a physical system. Digital twins are coupled to their physical counterparts; they are characterized by a dynamic, continual, two-way flow of information between the digital representation and the physical counterpart. Data streaming from the physical system are integrated into the digital representation to reduce uncertainties and improve accuracy. The digital representation may in turn be used to control the physical system, optimize data acquisition, and prove decision support. Digital twins must execute rapidly enough to support decisions and control in time scales that are relevant to the physical system and must manage and quantify uncertainties. Of particular note is the bi-directional interaction between the virtual and the physical, which is central to distinguishing a digital twin from a conventional simulation. This bi-directional interaction brings many new challenges to modeling, data curation, and decision-making.The workshop will bring together a diverse community of stakeholders to identify research gaps common across application domains and that may benefit from crosscutting interdisciplinary research efforts. The technical program is organized around four methodological themes: (1) Models; (2) Data; (3) Decisions; and (4) Verification, Validation & Uncertainty Quantification. To ensure crosscutting outcomes, these themes will be explored across four application domains: (1) Engineering, Materials & Manufacturing; (2) Smart Cities; (3) Biomedicine & Health; and (4) Climate, Natural Hazards & Environmental Sciences. Workshop speakers will be asked to identify barriers and enablers for achieving scalable digital twins in the four methodological themes, giving concrete examples drawn from the application domains. These barriers and enablers will be collected and organized during interactive workshop sessions. The objective is to identify, for each of the methodological themes, a “top-five” list of crosscutting barriers and a “top-five” list of potential crosscutting enablers, supported with concrete examples from the application domains.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个为期两天的研讨会将确定数字孪生的研究需求，数字孪生是一组模仿物理系统的结构、环境和行为的数字构造，它们的特征是：数字表示和物理系统之间的动态、连续、双向信息流被集成到数字表示中，以减少不确定性并提高准确性。系统，优化数据采集，并证明决策支持。数字孪生必须足够快地执行，以支持与物理系统相关的时间尺度的决策和控制，并且必须管理和量化不确定性，特别值得注意的是虚拟和物理之间的双向交互，这是区分虚拟系统和物理系统的核心。这种双向交互给建模、数据管理和决策带来了许多新的挑战。研讨会将汇集不同的利益相关者群体，以找出跨应用领域常见的研究差距，并从中受益。组织了跨学科的研究工作。围绕四个方法论主题：(1) 模型；(3) 决策；(4) 验证、验证和不确定性量化，将在四个应用领域探讨这些主题：(1) 工程。 、材料与制造；(3) 生物医学与健康；(4) 气候、自然灾害与环境科学研讨会发言人将被要求找出实现可扩展数字化的障碍和推动因素。四个方法论主题中的双胞胎，将在互动研讨会会议期间收集和组织这些障碍和推动因素，目的是为每个方法论主题确定一个“前五名”列表。横切障碍和潜在横切促成因素的“前五名”列表，并以应用领域的具体例子为支持。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。